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 is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based inthe United Statesand, 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. 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.
• 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).

At Alto, we are disrupting the Pharmacy industry with technology. We put patients at the center of technology solutions and work with partners to deliver technology-first solutions. As the Senior Manager, Engineering [DevSecMLOps], you will play a critical role in driving the development and scaling of our DevSecMLOps practices. We believe that DevSecMLOps Engineers are force multipliers and have a disproportionate positive impact on the broader Technology (Engineering, Data, and ML) organization. You will lead a high-performing team, ensuring that our services are reliable, scalable, secure, and optimized for performance. Your strategic vision will guide the team in building and maintaining loosely coupled services and low-latency data stores, essential for our fast-paced, high-growth environment.

Key Responsibilities:

• Leadership & Strategy:
• Lead and manage a team of engineers focused on DevSecMLOps, providing mentorship, guidance, and career development opportunities.
• Develop and execute a strategic vision for DevSecMLOps that aligns with the company’s goals and drives innovation in Engineering Excellence.
• Scale and optimize engineering processes, ensuring the delivery of secure, scalable, high volume, and high-performance services.
• Lead the newly formed MLOps function with an opinionated PoV on what greatness looks like and guide the team implement the vision. 
• Technical Excellence:
• Provide operational, infrastructural, and scale guidance to the architecture and implementation of loosely coupled services with low-latency and high volume data stores.
• Create a roadmap for and drive operational excellence with right sized monitoring,  instrumentation guidance, and tooling for a self-service Engineering organization.
• Implement best practices in software engineering for performant, reliable, and cost optimized systems.
• Collaborate with cross-functional teams to integrate DevSecMLOps practices into the software development life cycle.
• Innovation, Stakeholder management, and Change Management:
• Drive greatness in DevSecMLOps processes, tools, and practices towards Engineering Excellence.
• Lead change management efforts to influence successful adoption of new technologies and mechanisms.
• Stay aware of emerging technologies, identify opportunities, drive PoCs  to enhance our technology stack.
• Understand the why behind the company strategy, and build DevSecMLOps practices that enrich and uplevel the entire technology  organization.

Minimum Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 15+ years of experience in DevSecMLOps and SRE in building and scaling high volume, high throughput systems with loosely coupled services and low-latency data stores.
• Proven track record of at least 10 years in leadership roles, managing and scaling DevSecMLOps and SRE organizations.
• Proven track record of right sized telemetry, observability, and monitoring of services with clear SLI, SLO, and SLAs.
• Experience in a fast-paced environment in a high-growth technology or technology-enabled company.
• Strategic thinker with a passion for innovation and the ability to lead change in a dynamic environment.
• Excellent communication and collaboration skills, with the ability to work effectively across teams and departments.

Preferred Requirements:

• Deep understanding of best practices for managing a reliable and secure Kubernetes cluster.
• Experience in building infrastructure and tools for service-oriented architectures.
• Proven track record of improving developer experience across teams.
• Knowledge of security tools and technologies, such as firewalls, IDS/IPS, and endpoint protection.
• Familiarity with healthcare-specific or highly regulated security challenges and compliance requirements.
• Experience with developer tools for A/B testing, blue/green deployments, and cohort separation.
• Proficiency in developer productivity tools.
• Experience with MLOperations that accelerate the productization, monitoring of model deterioration, and reporting.

Additional Physical Job Requirements

• Reading English, comprehending, and following simple oral and written instructions. 
• The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.  Assessing the accuracy, neatness and thoroughness of the work assigned.
• Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly. 
• Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound. 
• Frequent repeating motions required to operate a computer or phone that may include the wrists, hands and/or fingers.
• Environmental Conditions: occasional exposure to low temperatures or high temperatures, outdoor elements such as precipitation and wind, and noisy environments.
• Physical Activities: 
• Occasionally ascending or descending stairs, ramps and the like.
• Moving about to accomplish tasks and/or moving from one worksite to another. 
• Adjusting or moving objects up to 20 pounds in all directions. 
• Operating motor vehicles.
• Occasional sedentary work that primarily involves sitting/standing/driving/flying

Salary and Benefits

Salary Range: $180,000 - 225,000

Commission Eligible: No

Equity Eligible: Yes

Travel: Yes - Required up to 15% of the time. Engineering on/off sites.

Location Requirement:Employment at Alto is limited to individuals residing in the following states: California, Connecticut, Colorado, Florida, Nevada, Illinois, New York, Kansas, Texas, Maryland, Washington (WA), Missouri, New Jersey, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Wisconsin.

Employment Requirement:Applicants must be authorized to work for any employer in the U.S.  At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.

Benefits: Full-time: Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave.  

Application deadline: September 31, 2024

#LI-Remote

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 

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.

#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

AS A SOLUTIONS ARCHITECT, YOU WILL : 

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.

Our Sales Engineering organization is seeking an AI Specialist focused on Machine Learning and AI who can provide hands-on expertise and support while working with technical decision makers in the design and architecture of the AI solutions that utilize Snowflake as an AI platform. 

IN THIS ROLE YOU WILL GET TO:

• Work with our sales teams to support our customers in initial adoption of our AI and ML features in a hands-on capacity.
• Be the technical expert in the room to present and position Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers. 
• Publish thought leadership content(blog posts, presentations at conferences and events) to advance Snowflake’s strategic initiatives around AI
• Help enable and uplevel other sales engineers and solution architects in AI and ML
• Collaborate closely with product to influence Snowflake’s roadmaps based on customer feedback.
• Collaborate with the Global FCTO, sales and marketing teams on field effectiveness / competitiveness of sales campaigns and messaging.  
• Influence, tailor and maintain Sales Engineering AI / ML selling assets, including customer presentations, demonstrations and customer stories. 

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• Minimum 5  years of experience working with customers in a pre-sales or post-sales technical role involving AI/ML
• Familiarity with cloud native ML and AI tools such as Sagemaker, AzureML, VertexAI. 
• Familiarity and associated knowledge of techniques(few shot prompt engineering, RAG, search and retrieval techniques etc) working with OSS or closed source LLM’s to build GenAI based solutions or interactive chat applications. 
• Familiarity with Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Strong knowledge of data engineering tools and technologies(dbt, Airflow, Spark) 
• Strong knowledge and experience working with SQL.
• Working knowledge of data engineering strategies(e.g. Data lake, warehouse, lakehouse, streaming) and associated tooling.
• Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc). 
• Strong presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• Working knowledge of tools in the LLM ecosystem such as langchain, llama index, NeMo-Guard. 
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.