Staff Machine Learning Engineer, WHOOP
Foundation AI
$170-230k
+ Equity package
4+ days a week in office
Wearable health and fitness devices
Open for applications
Wearable health and fitness devices
1001+ employees
Open for applications
$170-230k
+ Equity package
4+ days a week in office
1001+ employees
Company mission
To unlock human performance and Healthspan.
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 Machine Learning Engineer 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
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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