Staff Machine Learning Engineer, WHOOP
Training
Wearable health and fitness devices
Be an early applicant
Wearable health and fitness devices
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To unlock human performance by helping people find their inner potential.
Role
Who you are
- Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
- 7+ years of ML engineering, applied research, or a similar role
- 4+ years experience applying advanced mathematical and statistical techniques
- Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
- Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
- Experience working with time series data, preferably with wearable data applications
- Proficiency in scientific Python and SQL
- Excellent verbal and written communication skills
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office
What the job involves
- As a Staff Machine Learning Engineer on our Training team, you will develop algorithmic features and metrics that capture aspects of daily movement, exercise, and training
- You'll integrate diverse data sources—including WHOOP sensor data and gold-standard reference datasets—while grounding your work in clinical theory and scientific literature
- You’ll work cross-functionally with data scientists, MLOps engineers, and software developers to design, train, deploy, and maintain machine learning algorithms that power training features
- You'll also partner with product managers to identify opportunities for delivering novel, data-driven insights to WHOOP members
- Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
- Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
- Contribute to technical roadmap development and architectural decision-making and strategy across the data science and research department
- Collaborate with product managers to design impactful, member-facing features
- Work closely with a team of data scientists in developing algorithms that power member-facing features
- Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
- Mentor other data scientists on the team, by providing actionable feedback for more junior data scientists on technical areas of growth
- Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
Our take
WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.
By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.
WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Aug 2021
$200m
SERIES F
Oct 2020
$100m
SERIES E
Total funding: $404.8m
Company benefits
- TAKE TIME OFF: Our PTO plan encourages members to take time off in order to come back refreshed.
- LIVE A HEALTHY LIFESTYLE: Our benefits package includes premium medical, dental, and vision coverage for employees and their dependents. Life and disability insurance are also available.
- FEEL INVESTED: 401k and stock options to share in the future of WHOOP.
- EAT WELL: Keep hunger at bay with endless snacks in our fully stocked kitchen. Enjoy catered team lunches on Friday, and even a cold brew keg.
- KNOW THE PRODUCT: We offer you a WHOOP strap and membership at no cost.
- BE ACTIVE: Take advantage of our office gym and on-site showers, as well as a $500yearly wellness perk for fitness classes and memberships.
- BE PRESENT: Take care of your loved ones with 12 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- LOVE WHERE YOU WORK: Sitting in the heart of Fenway, our beautiful office overlooks Fenway Park. A prime location for great food, not to mention catching a Sox game, too!
- WORK HARD, PLAY HARDER: If we don't already have a club here that fits your lifestyle and interests, you're encouraged to start one. Share your passions with others at work, or discover new ones!
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(CEO)Studied at Harvard. Worked as a Summer Analyst at Allen & Company and at Lindsay Goldberg. Founded Whoop in their final year.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 33 more jobs at WHOOP