Senior Machine Learning Engineer, WHOOP
Sensor Intelligence
$150-210k
+ Equity
4 days a week in office
Wearable health and fitness devices
Be an early applicant
Wearable health and fitness devices
1001+ employees
Be an early applicant
$150-210k
+ Equity
4 days a week in office
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- Bachelor's degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field; Master’s or PhD degree preferred
- 5+ years of work experience as a Machine Learning Engineer working on research and development problems (4+ years for those with Master’s degree and 2+ years for those with PhD degree). The requirements may be relaxed for exceptional candidates
- Must have experience working with multiple DL architectures. Experience in training/fine-tuning/deploying Foundation AI models is a Significant Plus
- Solid understanding of ML fundamentals, and particularly DL techniques. At the SIG team, we like to be aware of the mathematics behind the algorithms we use
- Strong experience with time series data, e.g. data pertaining to wearables, physiological signals or any high-frequency sensor data. Familiarity with signal processing concepts and techniques is expected
- Proficiency in Python (scientific stack), ML/DL frameworks and libraries, e.g. PyTorch, TensorFlow
- Demonstrated success in designing and deploying ML inference systems at scale, including real-time and batch architectures is a plus. Experience with cloud computing platforms (e.g. AWS or GCP) is a plus
- Strong communication (both written and oral) and collaboration skills across cross-functional teams
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
- Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines
- Experience developing or supporting regulated or high-risk ML systems (e.g., digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a plus
- 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
- WHOOP is seeking a Senior Machine Learning Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science
- This role is central to developing and scaling core physiological signal processing and machine learning systems that power WHOOP’s most foundational health features
- You will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members
- This role will contribute to both member-facing and regulated health features, requiring a strong balance of ML rigor, production readiness, and regulatory awareness
- Join us in pushing the boundaries of wearable technology and positively impacting people's lives!
- Design and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data
- Conduct experiments and perform rigorous testing of the models. Optimize and fine-tune the DL/ML (including Foundation AI models) models for deployment in production systems, considering factors such as computational resources and real-time constraints
- Write clean, efficient, and maintainable code that is production ready
- Stay up to date with the latest advancements in AI/DL research and technologies
- Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality
- Contribute to ongoing research efforts and explore new features for the Whoop product
- Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems
- Prepare comprehensive reports for cross-functional teams
- Own the full lifecycle of ML service(s) from development to deployment. Be ready to partner with data engineers to build and enhance data pipelines, validation tools, and monitoring systems that ensure consistent model performance in production
- Mentor team members in ML engineering best practices
- Develop, validate, and maintain ML algorithms for regulated health features, ensuring compliance with applicable regulatory and quality requirements
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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