Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is seeking a Senior Data Analyst, Healthcare to join an agile, cross functional team supporting the Department of Veteran Affairs. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands on with clinical data, employee data, end-user data; and LLMs and other machine learning tools.

This is a Key Personnel role, as stipulated by our contract, considered "essential to work performance". The resumes of Key Personnel are subject to government review and approval, and any changes to Key Personnel (such as voluntary or involuntary separation) may require government oversight.

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Develop a deep understanding of relevant data available.
• Conduct research with stakeholders to develop machine learning models to support their use cases.
• Assess and analyze data from existing systems, including, but not limited to, EHRs Chatbots, customer support , and adjudication systems.
• Clean and prepare data, including clinical data for use in risk prediction and other models.
• Ensure solutions are consistent with Trustworthy AI Framework.
• Evaluate AI based solutions for accuracy, relevancy, and usability.
• Support the practice of data analysis within the larger company as needed through activities such as:
  • Assisting in outreach, recruitment, and hiring efforts
  • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
  • Participating in communities of practice
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• Experience deriving insights from unstructured and structured healthcare data, ability to effectively communicate those insights to stakeholders and clinical leaders.
• 9 years of experience in data science and machine learning.
• Experience working with healthcare terminology standards: ICD-10, CPT, LOINC, RxNorm, SNOMED*.*
• Experience in leveraging R, Python, or SQL/NoSQL to do data analysis, profiling, cleaning, and aggregation
• Data management experience; Ability to read and write complex SQL queries, ability to navigate and profile existing data sources
• Experience in an open-source, collaborative development environment
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Experience working with healthcare data from VHA.
• Experience working with government agencies
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $163,506 - $171,891. 

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is seeking aSenior Data Scientistto join an agile, cross functional team supporting the Federal Government customers in creating AI-enabled solutions to create better services for beneficiaries, patients, and employees, reduce healthcare provider burnout, and improve care quality. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands-on using commercial and open source LLMs, Prompt Engineering, RAG architectures, and other machine learning tools.

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Assessing AI-enabled approaches to specific problems is appropriate. Advising stakeholders where AI-enabled approaches may and may not be appropriate.
• Evaluating and selecting specific Machine Learning (ML)-based approaches.
• Developing solution prototypes and minimum viable products for testing with users.
• Conducting research with stakeholders to engineer prompts for large language model (LLM)-based tools
• Customizing commercial LLMs to meet the needs of VA employees, including tuning, prompt engineering, and integration with existing VA systems.
• Support the practice of data science within the larger company as needed through activities such as:
  • Assisting in outreach, recruitment, and hiring efforts
  • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
  • Participating in communities of practice
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• Experience implementing LLM based applications or services; including model and toolchain selection.
• Experience enhancing LLMs with external knowledge bases or databases, and fine-tuning pre-trained LLMs on domain-specific data or tasks, improving their performance and accuracy for specialized use cases.
• 9 years of experience in data science and machine learning.
• Knowledge of cloud platforms for machine learning; including SageMaker and Azure Machine Learning.
• Experience with Machine Learning and Deep Learning Algorithms, and applying them to production solutions.
• Familiarity with privacy-preserving tools and handling PII.
• Excellent communication skills, ability to document and present complex technical options and trade-offs to engineering and non-technical audiences.
• Experience in an open-source, collaborative development environment
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Experience working with healthcare terminology standards, e.g. ICD-10, CPT, LOINC, RxNorm, SNOMED
• Experience working with government agencies
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $163,506 - $171,891. 

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in the United States, and depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Machine Learning Engineer specializing in NLP to join our Enterprise team in building new products and capabilities for our Enterprise customers. The person in this role will work with a high–performing team of Engineers, Product Designers, Computational and Analytical Linguists, Data Scientists, and Product Managers to build new AI products that improve communication in our customer organizations.

At Grammarly, we work in small, cross-functional project teams to leverage state-of-the-art ML advances, deep linguistic expertise, and human-centered product design. The person in this role will apply ML to solve new and challenging problems and build the infrastructure and systems to operate solutions effectively at scale. This will involve working on a highly cross-functional team in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

Qualifications

• Understands traditional machine learning algorithms and state-of-the-art techniques—including deep learning—and how to use them effectively.
• Has a deep understanding of modern algorithms for and approaches to ML and NLP.
• Has experience building LLM-based products and evaluating the performance of LLMs.
• Is comfortable reading academic papers and can take exciting ideas and apply them.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or sizeable incoming data streams.
• Is highly entrepreneurial, energetic, and creative, and is comfortable working in a fast-paced environment with high levels of ambiguity and evolving product requirements.
• Can communicate with other humans more effectively than a generative AI system can.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days 
• Home office stipends
• Caregiver and pet care stipends
• Wellness stipends
• Admission discounts
• Learning and development opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

#NA

#LI-CC1

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

The Head of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms. In addition, the VP of Data Science is responsible for the ongoing strategic advancement of the company's data science capabilities.

As the VP of Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives.

Responsibilities: 

• Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms
• Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and grow the technical capabilities of the team
• Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization
• Partner with senior business, product, and engineering leaders to develop strategic goals
• Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects
• Conceive, develop, implement, and continually improve machine learning projects
• Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problems
• Develop new capabilities to deliver business solutions by applying data science algorithms
• Build and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosper
• Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department
• Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmaps
• Determine leveraging data science, machine learning, and other analytical techniques to improve product features and capabilities. Provide leadership on how to leverage data and data expertise to improve the customer experience
• Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
• Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists
• Lead the end-to-end planning and execution of all data analytics and sciences initiatives

Qualifications:

• 10+ years of advanced analytics or data science experience
• Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field
• 5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution
• 5+ years of experience within cybersecurity or a directly correlated industry
• Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning
• Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as you are writing complex SQL queries
• Business Acumen – Proven ability to apply data science capabilities to solve practical business problems
• Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills
• Expert level knowledge in predictive analytics, machine learning, and data mining
• Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc.
• Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure)
• Has worked with data at scale and velocity
• Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success
• Proven ability to attract, hire, develop, and retain exceptional talent
• A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity
  

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated salary range for this position is $200,000 - 300,000. Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative.

We are looking for a Senior Software Engineer to join our Applied AI team to help us build generative  AI-powered features. The Applied AI team’s goal is to enhance the speed, creativity, and quality when building and designing websites through the power of AI, in pursuit of our mission to bring development superpowers to everyone around the world. This role will collaborate directly with product and ML engineers, product managers and designers to identify and implement AI solutions that improve the Webflow user experience, while cultivating an environment of excellence, care, and curiosity. 

About the role 

• Location: Remote-first (United States; BC & ON, Canada) 
• Full-time
• Exempt 
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
• United States  (all figures cited below in USD and pertain to workers in the United States)
• Zone A: $158,000 - $218,000
• Zone B: $149,000 - $205,000
• Zone C: $139,000 - $192,000
• Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
• CAD 180,000 - CAD 248,000

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to a Senior Engineering Manager

As a Senior Software Engineer, AI Products, you’ll…

• Stay up-to-date on AI/ML ecosystem advancements to assess their relevance to Webflow’s product strategy.
• Develop and integrate third-party AI APIs into the product's architecture.
• Be comfortable with making decisions with incomplete information and adjusting priorities as new insights emerge.
• Work closely with the product and design teams, owning and iterating on the solution together.
• Improve developer processes for building LLM-powered applications, helping to establish best practices in prompt engineering, experimentation, and quality assessments.
• Develop a deep understanding of our architecture and codebase while also learning about our product and the customers that use it.
• Work in an environment that fosters creativity, learning, and growth.
• Build and maintain tests and evaluation and monitoring of generative AI outputs.

About you 

You’ll thrive as a Senior Software Engineer, AI Products if you…

• Have 5+ years of experience in full-stack, product-focused software engineering, with a proven track record of shipping impactful products to market. 
• Bring 1+ years of hands-on experience building products that leverage AI/ML technologies to solve real-world problems.
• Are highly proficient in JavaScript and/or TypeScript.
• Have an intuition of AI/ML concepts and technologies, such as large language models, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Have experience measuring and improving the quality of large language model outputs through the use of techniques like prompt engineering and fine tuning.
• Have strong problem-solving skills, with the ability to debug production issues across multiple layers of the stack efficiently and effectively.
• Demonstrate exceptional organizational and communication skills, capable of breaking down complex technical ideas for both engineering and non-engineering audiences.
• Are passionate about delivering business value through fast iteration, with a bias toward shipping early and often.
• Take ownership of your work and are motivated by driving projects to impactful, measurable outcomes.
• Thrive in collaborative, cross-functional teams, and are excited to mentor and contribute to the team’s overall success.

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement
• Flexible PTO for all locations and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support work and wellness
• 401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

Overview

Join Instacart’s mission to revolutionize the grocery industry through cutting-edge technologies. As a Machine Learning Engineer focused on search, you will help create seamless shopping experiences by leveraging advanced machine learning techniques to improve search relevance and discovery on Instacart's platform. This is an exciting opportunity to work on meaningful challenges at the intersection of AI and e-commerce, directly impacting how millions of users interact with the platform daily.

About the Role

We are seeking a highly motivated Machine Learning Engineer to join our Search ML team. In this role, you’ll work alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. You will collaborate on building models that enhance search relevance, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. This is a role where your contributions will not only drive immediate impact but also present exciting opportunities to showcase your work through publications and conferences (recent publications 1, 2, 3).

About the Team

The Machine Learning team at Instacart is a dynamic and collaborative group dedicated to advancing the role of AI across the platform. As part of the Search ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. Our team thrives in a fast-paced environment where we constantly experiment, iterate, and improve.

About the Job

• Develop and optimize machine learning models to enhance search relevance, ranking, and personalization for millions of users
• Collaborate with cross-functional teams, including data scientists and engineers, to build scalable and efficient search solutions
• Work on real-time search systems, improving the discoverability of products across multiple retailers
• Contribute to research and thought leadership, with opportunities to publish papers in leading AI and ML conferences
• Take ownership of your projects, from research and prototyping to production deployment, in a fast-paced environment

About You

MINIMUM QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related fields
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (Pytorch, Tensorflow) tools
• Strong analytical skills and problem-solving ability
• Strong communicator who can collaborate with diverse stakeholders across all levels

PREFERRED QUALIFICATIONS

• 3+ years of experience building and deploying machine learning models in production environments
• PhD in Machine Learning, Artificial Intelligence, or related fields
• Previous experience working on search or recommendation systems at scale
• Strong publication track record in top-tier AI/ML conferences
• Familiarity with A/B testing and experimentation methodologies for search relevance improvement

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Senior DevOps Engineer on the Data Platform team, you will lead cloud infrastructure design, automation, and management, focusing on Databricks and AWS, ensuring the platform is scalable, secure, and cost-effective. You will be critical in optimizing data processing and machine learning workflows, guaranteeing high performance and uptime for critical systems. Your expertise in Databricks and AWS infrastructure and a focus on cost management will be vital to driving platform efficiency.

You will work closely with data engineers, ML teams, and infrastructure engineers to automate and optimize workflows, manage infrastructure, and ensure the platform supports real-time analytics and machine learning at scale.

• Design, implement, and manage scalable infrastructure focusing on Databricks, AWS, and Spark clusters to support data pipelines and lakes.
• Build and optimize CI/CD pipelines for deploying and managing Databricks clusters, data pipelines, and real-time data workflows.
• Use tools like Terraform, Kubernetes, and Ansible to orchestrate and automate infrastructure tasks, including provisioning, scaling, and monitoring.
• Implement and manage monitoring and logging systems to ensure data infrastructure's high availability, security, and performance, focusing on Databricks and AWS environments.
• Implement cloud security best practices, manage access control and encryption, and ensure the platform complies with data privacy regulations to ensure security and compliance.
• Collaborate with cross-functional teams to maintain cost management strategies, optimizing resource utilization across Databricks, AWS, and other data infrastructure components.

Qualifications

• Has 5+ years of experience in DevOps with expertise in managing AWS infrastructure and Databricks environments.
• Has strong experience with Spark clusters, data lakes, and managing large-scale data pipelines in a cloud environment.
• Is skilled in orchestration, monitoring, and logging, using tools like Terraform, Kubernetes, and Airflow for managing cloud resources and data workflows.
• Understands security and compliance best practices, ensuring data infrastructure is secure, compliant, and aligned with privacy regulations.
• Has experience with cost management and optimization of cloud resources, with a focus on AWS and Databricks.
• Is a problem solver who enjoys building scalable, automated solutions that improve platform reliability and efficiency.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the ForbesCloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Senior Engineering Manager to join our Core Product team. This role will lead an experienced team of engineers focused on leveraging machine learning to develop contextually-aware communication assistance for our users.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As the Engineering Manager of the Core Product ML team, you will lead the development of innovative new Grammarly features leveraging contextual inferences using cutting-edge technologies, including machine learning and generative AI. Your team will draw insights from large amounts of raw data to build products that deliver an optimal and delightful experience to the user. Additionally, these contextual inferences will enable us to deliver maximum value for cross-functional partners across Product, Design, Sales, and Growth.

Qualifications

• Has 3+ years of relevant experience managing high-performing engineering teams with a track record of shipping measurable impact and value to customers.
• Is knowledgeable about machine learning, generative AI, natural language processing, and related technologies.
• Demonstrates ability to lead and mentor a team. Effectively sets and communicates priorities for themselves and their team while driving execution.
• Has excellent analytical and problem-solving skills. Ability to dive deep into technical issues and provide effective solutions.
• Demonstrates strong communication and interpersonal skills. Experience working in a collaborative, cross-functional environment, including with remote teams.
• Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

• Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 
• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.  In Canada, all locations where we support employment are considered “Zone 1”. 

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

Meet the team:  

As part of an organization at the forefront of autonomous driving, we develop trajectory prediction & planning networks that enable the truck to make data-driven decisions to the scene around it. The Learned Vehicle Intent team works in partnership with Perception and Control teams to plan out the safest possible trajectory given the traffic, weather and environment around the truck. 

What you’ll do:     

Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. The Senior ML Engineer will work closely with the rest of the machine Learning teams and the Vehicle Intent Department to advance our capabilities in time-series forecasting for autonomous driving. The candidate will participate in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementing and testing, and finally, deployment and maintenance. 

• Produce production deployed models and software 

• Contribute to the research, development, and improvement of machine learning models for end-to-end prediction, and planning 

• Collaborate with data scientists and other engineers to evaluate and improve the efficacy of these models 

• Develop software that is robust, efficient, and maintainable, always ensuring software quality 

• Participate in team meetings to share progress, collaborate on new ideas, and address any challenges 

• Stay updated on the latest developments in machine learning and autonomous driving. Evaluate how these can be utilized in our system 

• Work closely with the Vehicle Intent, Sensing and Understanding, and other autonomy teams to align on objectives and deliverables 

• Participate in technical discussions, brainstorming sessions, and other team meetings 

• Develop and maintain thorough documentation for all developed models and associated code 

• Provide mentorship and technical guidance to junior team members 

What you’ll need to succeed:     

• Master’s degree in computer science, computer engineering, or engineering equivalent and 3+ years of relevant experience    

• Deep understanding of machine learning frameworks such as TensorFlow or PyTorch 

• Experience involving machine learning or related fields in a production environment 

• Hands-on experience with learning-based prediction, planning and control 

• Experience in autonomous driving systems, sensor fusion, and perception is a plus 

• Adept communication skills, able to articulate complex concepts to diverse audiences 

• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment 

• Advanced knowledge contributing to engineering and process creation and maintenance 

• Excellent time management and organizational skills to plan, develop, and prioritize effectively 

• May require occasional travel to other sites  

• Continuous technical education and training is required to stay updated in the field of machine learning and autonomous driving. 

• Ability to be flexible and may work extended hours/weekends/evenings when project demands 

• Ability to work and collaborate across locations over different time zones 

Bonus Points!     

• Doctorate Degree in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years relevant experience 
   

Perks of Being a Full-time Torc’r    

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:        

• A competitive compensation package that includes a bonus component and stock options      

• 100% paid medical, dental, and vision premiums for full-time employees        

• 401K plan with a 6% employer match      

• Flexibility in schedule and generous paid vacation (available immediately after start date)     

• Company-wide holiday office closures      

• AD+D and Life Insurance 

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

The Opportunity

To achieve our ambitious goals, we’re looking for a Senior Product Manager, Acquisition to join our Product Management team. This person will be critical in leading and executing our company’s strategy to drive new user growth.

As a Senior Product Manager on the Acquisition team, you will partner closely with our cross-functional teams to optimize our acquisition funnel and drive web traffic and signups for Grammarly. Your work will reach millions of students and professionals each week who visit our website to learn more about our product. Your goal is to make the value of Grammarly so clear and undeniable that they’re excited to try it out! We want to find the best way to showcase long-standing Grammarly features like tone detection and brand-new AI capabilities. 

Candidates must have a proven track record of successfully driving growth objectives, such as signups, product installs, activations, and retention. The ideal candidate is familiar with standard organic acquisition levers and technologies, including SEO, blog posts, and channel distribution.

In this role, you will:

• Ensure Grammarly website visitors appreciate the breadth and depth of Grammarly’s writing assistance through our web tools (Grammar Checker, AI Writing Tools, Grammarly Editor, etc.), product demos, and other interactivity. Develop a vision for how these website features will change over the next 1-3 years as Grammarly’s core product evolves.
• Go deep into the technologies that power organic marketing (SEO, CMS, self-serve experimentation platform, personalization tools, etc.), identifying best-in-class examples and new industry trends to inspire the team. Prioritize and execute technical improvements as needed.
• Employ user testing, quantitative analysis, and experimentation to inform decisions, test hypotheses, and measure the impact of projects. Influence the roadmap of our Data & Analytics teams, ensuring we have the necessary information for product decisions readily available.
• Partner with engineers, product designers, content designers, data scientists, marketers, and user researchers to develop comprehensive user acquisition strategies, optimizing existing channels and identifying new ones.
• Own a significant portion of Grammarly’s growth goals in 2024/2025—present progress, insights, and recommendations for these goals to senior leadership regularly.

Qualifications

• Has experience with one or more of the following - Growth product management, SEO, or landing page optimization.
• Has proven success in driving key growth metrics, such as signups, product installs, activations, and retention. Geeks out on growth strategy, user psychology, and conversion goals.
• Is strongly data-oriented, using metrics and experimentation to drive decisions whenever possible. Can uplevel how the XFN team thinks about data.
• Demonstrates the ability to drive projects in close partnership with cross-functional teams, especially marketing.
• Is highly strategic but also hands-on when needed.
• Can see and plan for both the near- and long-term.
• Connects team priorities to the company and product vision, translating them into an actionable roadmap.
• Familiarity with paid marketing strategies and technologies is a plus (performance measurement, ML-powered bidding, etc.
• Embodies our EAGER values — is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time 
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. 

We are hiring an AI/Machine Learning Engineer to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives. 

What you'll be doing:

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products.

What you’ll bring:

• 7+ years of experience in software and machine learning engineering.
• 3+ years of experience leading cross-functional AI/ML teams.
• Strong knowledge of natural language processing (NLP) and transformer models.
• Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Expertise in the end-to-end ML pipeline, including data processing, model training, serving, and monitoring.
• Experience in building scalable, cloud-based AI/ML solutions (AWS, GCP, or Azure).
• Understanding of ethics in AI, including bias mitigation, fairness, PII/PHI data and privacy concerns.
• Experience with fine-tuning pre-trained models for specific business use cases.
• Familiarity with MLOps best practices, including IaC, CI/CD for ML models, version control for data and models, and performance monitoring.
• Strong communication skills for interfacing with both technical and non-technical stakeholders.

Requirements:

• Must be a US Citizen and able to work domestically 
• Must be able to attain low-level security clearance 

Education:

Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.

Benefits:

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.io 

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $130,000 – $165,000

​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

• Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
• Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
• Create data science roadmaps that accelerate hims & hers business goals
• Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
• Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to work effectively with both technical and non-technical partners
• Experience developing and putting models into production, while also owning and maintaining production models long-term
• Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
• Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
• MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Counterpart Health: Value-based care, at the point of care.

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes for patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

Our UX Designers thrive on solving hard problems. We deliver products and experiences by combining personal care with modern technology to give people the healthcare they deserve. We work closely to define emerging patterns, interactions, and visual systems from the ground up to solve problems that haven’t been solved yet. It’s an opportunity to not only design better healthcare software, but to design a whole new way to work.

We are seeking a talented and experienced Staff UX Designer to join our team and lead impactful design initiatives across our product suite. As a key member of the design leadership team, you will shape the quality of the user experience, collaborating closely with cross-functional teams to ensure our products are intuitive, user-centered, and aligned with business goals. You will be responsible for solving complex design challenges, elevating design quality by mentoring other designers, and driving a user-first mindset throughout the organization.

If you are a design leader who thrives in a fast-paced, outcome-driven environment and has a passion for creating products that make a meaningful impact, we would love to meet you!

 As a Staff UX Designer, you will:

• Provide leadership in introducing consumer-level experiences into the enterprise healthcare space, setting a new standard for design quality with a refined sense of taste.
• Lead the exploration and solutioning of undefined problem areas, driving innovation to tackle complex user and business challenges.
• Own and lead large-scale design projects, utilizing rapid prototyping and fast learning cycles to deliver impactful, scalable solutions.
• Bring differentiated expertise to elevate the overall design quality and introduce breakthrough experiences, pushing the team toward new levels of excellence.
• Establish yourself as a design leader by demonstrating mastery, strategic thinking, and confidence in making intelligent design decisions.
• Champion design excellence and innovation throughout the organization, influencing cross-functional teams and setting the standard for high-impact solutions.

  Success in this role looks like:

• In the first 90 days, you have partnered with senior engineering to deliver multiple prototype iterations, which are now actively in the hands of end users. You have dramatically elevated the user experience and are setting a new benchmark for design excellence. Your deep collaboration with leadership and data science teams has been essential in weaving ML features into the design and breaking new ground.
• By six months, you have seamlessly integrated next-gen design patterns into the workflows of other designers and PMs. You’ve also incorporated these patterns and improvements into the Design System as a member of the Design System Team, while retiring or updating outdated patterns. You are now balancing the fine-tuning of next-gen experiences with launching new, high-impact projects, demonstrating your strategic vision and agility across the organization.
• Long term, you continue to lead groundbreaking exploration projects with substantial potential. You are working collaboratively with senior leadership and data science teams to drive strategic design advancements. As a key player in the Design System, you are elevating design quality, consistently pushing the envelope and setting new standards for excellence.

  You should get in touch if:

• You have 7+ years of in-house design experience, including working autonomously with senior technical teams and integrating complex features like ML to deliver consumer-level, best-in-class experiences.
• You have a portfolio that demonstrates industry mastery (healthcare experience is a plus but not required), showcasing advanced expertise in interaction and visual design, with a track record of creating outstanding, next-level user experiences.
• You possess strategic thinking skills and have experience leading early-stage exploration projects with high-value potential, showcasing your ability to drive impactful design innovations.
• You have a proven track record of managing and reconciling conflicting stakeholder feedback, resulting in cohesive and innovative design solutions.
• You are adept at working with design systems, with experience in contributing to and maintaining high-quality, scalable design standards.
• You are a natural leader who thrives on sharing your knowledge with others, helping to elevate the design capabilities of your team.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

A reasonable estimate of the base salary range for this role is $170,000 to $230,000. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

#LI-Remote

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

????Cardiff, London, or Remote UK  | Salary £140-£175,000 + stocks + benefits | Hear from the team ✨ 

About our Machine Learning Team:

At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. 

Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling.

What you’ll be working on:

As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist! This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems.

We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level.

Your day-to-day

As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development.

You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads.

You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

• Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning.
• Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:

What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team.
• You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so
• Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-REMOTE #LI-NJ1

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

You will play a foundational role in the development of an industry-leading solution that harnesses clinical expertise and AI / ML to enhance acute inpatient utilization management clinical review quality and efficiency. You will apply your clinical expertise to audit acute inpatient authorizations to validate the appropriate level of care, synthesize audit patterns, and help design automation algorithms.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Audit acute inpatient authorizations for unplanned admissions (including authorization data, clinical records, evidence-based guidelines, and nurse clinical review documentation) to validate the appropriate level of care, with a keen focus on quality
• Synthesize patterns across audits and identify opportunities for clinical review automation
• Help build presentations summarizing audit results for internal and external communication 
• Collaborate with cross-functional teams to develop clinical review automation algorithms
• Help evaluate performance of clinical review automation algorithms 

Your background & requirements:

• Registered Nurse (RN), associate or bachelor’s degree
• Top performer with 10+ years of experience conducting payer utilization management clinical reviews or audits for acute inpatient authorizations for unplanned admissions
• Deep understanding of payer end-to-end acute inpatient authorization processes, including policies and procedures (e.g., CMS 2 midnight rule, MCG / Interqual guidelines)
• Independent, objective thinker that doesn’t just take things at face value 
• Extremely diligent with an absolute focus on quality
• Adept at analyzing data to help solve problems  
• Values simplicity; adept at distilling complex clinical concepts into comprehensive, clear, and actionable frameworks
• Passion for and conceptual understanding of how AI / ML can be used to optimize UM
• Natural inclination to look for ways to improve the status quo
• Proficient in key applications (e.g., clinical review apps, spreadsheets, document processors)

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

This is a temporary contract position and the pay rate for this position is $50 to $60 per hour. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Team Luna is Rocket Money’s growth engineering team. From the moment someone first hears about Rocket Money, through their first few days of using the platform, our code makes sure that a user’s first interactions are seamless, valuable, and delightful. We work closely with product, marketing, and data teams on tools and integrations that help us understand our users and drive favorable business outcomes like increased retention, engagement, and ROAS (return on ad spend).

Some of the things we regularly tackle include:

• Coding out experiences across web and mobile through a uniquely iterative, data-driven development process.
• Owning the systems that quickly and reliably bring data into the hands of automated systems, ML models, and decision-makers.
• Helping other dev teams understand and leverage our marketing and analytics stacks.
• Integrating a wide range of products to surface insights about user analytics, attribution, engagement, retention, and satisfaction.
• Leading investments into the the tooling and developer experience of Rocket Money’s technical platform.

ABOUT  YOU????

• You have an entrepreneurial spirit, and are excited to use your technical skills to positively impact business outcomes alongside user privacy and experiences.
• You have experience working with some combination of Node/TypeScript, React (or similar framework), GraphQL, and Postgres (or similar relational database).
• You enjoy working within cross-functional groups spanning marketing, data, and finance.
• Nice-to-have: you have experience with growth/marketing engineering, working with tools like MMPs (eg Singular), analytics eventing and data engineering (eg Segment, GTM/GA, Fivetran), BI tools (eg Amplitude, Looker), and/or CRMs (eg Braze).
• You write clean, reliable code across a variety of platforms.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

????Location | ???? £85-110,000 + Benefits | Hear from the team ✨

About our Machine Learning FinCrime Team:

Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. 

Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying.

Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling.

What you’ll be working on: 

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to: 

• Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
• Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. 

The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

Your day-to-day:   

As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. 

This will involve:

• Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
• Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• Reducing financial crime and protecting customers with data driven strategies sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL.  You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices 
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

Nice to haves:

• Experience working with financial crime and in regulated institutions
• Commercial experience writing critical production code and working with microservices

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 1 take home task 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance

#LI-REMOTE #LI-NJ1

What you’ll do  

• Lead the Design and Implementation: Using modern data architecture principles, architect and implement cutting-edge data processing platforms and enterprise-wide data solutions. 
• Scale Data Platform: Develop a scalable Platform for optimal data extraction, transformation, and loading from various sources, ensuring data integrity and accessibility. 
• AI / ML platform: Design and build scalable AI and ML platforms to support Transcarent use cases.  
• Collaborate Across Teams: Partner with Executive, Product, Clinical, Data, and Design teams to meet their data infrastructure needs, supporting them with technical expertise. 
• Optimize Data Pipelines: Build and optimize complex data pipelines, ensuring high performance, reliability, and scalability. 
• Innovate and Automate: Create and maintain data tools and pipelines that empower analytics, data science, and other teams to drive innovation and operational excellence. 
• Mentor and Lead: Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement. 

What we’re looking for:  

• Experienced: 10+ years of experience in data engineering with a strong background in building and scaling data architectures in complex environments. Healthcare experience is a plus. 
• Technical Expertise: Advanced working knowledge of SQL, relational databases, and big data tools (e.g., Spark, Kafka). Proficient in cloud-based data warehousing (e.g., Snowflake) and cloud services (e.g., AWS). Proficient in understanding of AI / ML workflows, etc., 
• Architectural Visionary: Demonstrated experience in service-oriented and event-based architecture with strong API development skills. 
• Problem Solver: Ability to manage and optimize processes supporting data transformation, metadata management, and workload management. 
• Collaborative Leader: Strong communication skills with the ability to present ideas clearly and lead cross-functional teams effectively. 
• Project Management: Strong project management and organizational skills, capable of leading multiple projects simultaneously. 

Nice to have: 

• Preferred tech stack: 
  • Data Platforms: Experience with building Data-as-a-Service platforms and API development. 
  • Programming Languages: Proficient in object-oriented scripting languages such as Python, Java, C++, Scala, etc. 
  • Big Data Tools: Expertise with tools like Spark, Kafka, and stream-processing systems like Storm or Spark-Streaming. 
  • Cloud Services: In-depth experience with AWS services (EC2, EMR, RDS, Redshift) and workflow management tools like Airflow.