Staff Data Scientist, WHOOP
Foundation AI
$170-230k
+ Equity package
Wearable health and fitness devices
Be an early applicant
Wearable health and fitness devices
501-1000 employees
Be an early applicant
$170-230k
+ Equity package
501-1000 employees
Company mission
To unlock human performance by helping people find their inner potential.
Role
Who you are
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
- 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
- Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
- Experience building and scaling large datasets and training large models in distributed compute environments
- Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
- Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
- Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
- Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology
- Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply
What the job involves
- We are seeking a Staff Data Scientist to join our Foundation AI team
- This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences
- These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior
- In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models
- You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members
- Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
- Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
- Develop scalable, distributed training pipelines for large models on high-performance compute environments
- Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
- Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
- Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
- Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
- Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI
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
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