????London/Cardiff/UK Remote | ???? £135,000-165,000 + Benefits | Hear from the team ✨

⭐About Ops Data:

Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists.

In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently.

????You’ll play a key role by...

As a Senior Lead ML Scientist, you’ll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations, enabling us to craft a world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. 

You’ll provide key technical leadership and ship highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. You’ll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team.

Machine Learning Scientists at Monzo work end to end, so you’ll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time models all the way to actual value

????We’d love to hear from you 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 a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You have a solid grounding in SQL and Python, are comfortable using them every day, and keen to learn Go lang which is used in many of our microservices 
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You are comfortable exploring potentially ambiguous business problems within a complex and rapidly growing organisation
• You're excited about the potential of 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
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team
• You’re comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once

Nice to haves:

• Experience working within large Customer Support and internal product spaces
• Experience with NLP tasks
• You have commercial experience writing critical production code and working with microservices

????What’s in it for you

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa.

????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, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

????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

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-NJ1

Grammarly team members in this role must be based in San Francisco, and they must be able to collaborate in person at least 2 weeks per quarter, traveling if necessary to the hub(s) where the 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. 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.

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 Software Engineer on the Data Platform team, you will contribute to building the scalable, secure, and efficient data systems that power our entire organization. You’ll work on designing and implementing critical data infrastructure and systems that enable real-time and batch processing, data analytics, and machine learning workflows. This role offers the opportunity to rapidly grow your data engineering and back-end infrastructure skills while working alongside experienced engineers.

You will be able to work with cutting-edge technologies and tools, contributing to projects that handle large-scale data pipelines, build secure and compliant data systems, and improve our data platform’s performance and scalability. In this role, you will:

• Build and maintain key components of the data platform, including data pipelines and infrastructure for data storage, processing, and delivery.
• Learn and apply concepts in data engineering, such as distributed data processing, real-time data streams, and batch processing.
• Work with technologies like Spark, Kafka, SQL, and cloud platforms (AWS) to deliver scalable and reliable data systems.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and back-end developers, to help build data-driven solutions and tools.
• Ensure that systems are scalable and performant, contributing to the overall reliability and efficiency of the data platform.

Qualifications

• Has 2-5 years of software engineering experience, with an aptitude for data infrastructure or data engineering.
• Is a fast learner who is eager to develop their skills in building large-scale distributed systems and data platforms.
• Has experience with some of the following: Python, Java, Scala, SQL, or cloud technologies (AWS, GCP, Azure).
• (Preferably) understands basic data concepts such as data pipelines, ETL processes, and real-time/batch data processing.
• Is familiar with data technologies like Spark, Kafka, Kinesis, or similar tools, and is interested in expanding their knowledge in these areas.
• Has strong problem-solving skills and is passionate about learning how to build and scale data systems.
• 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 unlimited sick days 
• 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).

About the Role:

Bloomreach is solving one of the digital world’s most fundamental problems: helping people instantly find what they need when they need it. We are seeking a Senior Software Engineerto join our Search Intelligence team, who will play a crucial role in advancing our search and personalization capabilities. The team focuses on designing, building, and enhancing semantic understanding, query parsing and processing, and language modeling within the search system. Your contributions will include the development of new recall and ranking search algorithms, as well as the implementation of machine learning and LLM models to optimize the digital experience for commerce. You will be responsible for designing and architecting core components for new features, aiming to improve the performance of existing high-traffic, highly available search APIs. You will be at the forefront of developing innovative solutions to enhance search capabilities, utilizing cutting-edge technologies to ensure users can instantly access what they need. This role offers an exciting opportunity to contribute to the core of our product, applying your expertise to improve search functionalities and redefine the digital shopping experience.

What you'll do:

• Design and implement recall and ranking search algorithms, leveraging the latest LLM models to optimize the digital experience for commerce
• Build, maintain, and scale data processing pipelines for Search in an efficient and reliable way
• Partner with the Product team to understand requirements and use cases, Lead and engage cross-functional engineering teams to plan and drive end to end execution of projects
• Participate in lean and agile development process in an automation- and monitoring-driven environment, from planning, scoping, estimation all the way to optimization, maintenance, and support
• Acquire proficiency and apply GenAI/LLM technologies to enhance search relevance, ultimately boosting revenue for Bloomreach customers
• Steward an extremely high bar of technical excellence for the company to drive innovation in the search and personalization space

What you'll need:

• Bachelor's or Master's degree in Computer Science or related fields.
• 4+ years of hands-on experience in Java or another object-oriented language, working with cloud providers (AWS, GCP) and building enterprise software products.
• Experience with open source search engines (Solr, ElasticSearch) as well as big data and large-scale data processing technologies (Hadoop, Spark, Kafka).
• Proven track record in developing and maintaining distributed systems at scale in a production environment.
• Extensive background in data structures and algorithms with strong software architecture skills.
• Familiarity with the machine learning algorithms and tools, and keen interest for staying up-to-date with the latest advancements in search/GenAI/LLM  technologies, and related fields.
• Experience working with Data Science teams to implement ML models in real-time serving is a plus.
• Startup experience in a fast-paced growth company is highly desirable but not required.

Excited? Join us and transform the future of commerce experiences.

The base salary range for this position is $135,000-$185,000. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.

Regional benefits:

• Health care including medical, dental, and vision insurance
• 401k plan with employer contribution

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 employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness 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 for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

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

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 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