WHOOP · 18 hours ago
Senior Machine Learning Engineer (Sensor Intelligence)
Boston, MA
Full-time
Onsite
Senior Level
$150K/yr - $210K/yr
5+ years expWHOOP is on a mission to unlock human performance and healthspan by empowering members with a deeper understanding of their bodies. They are seeking a Senior Machine Learning Engineer to join the Sensor Intelligence Group, focusing on developing and scaling machine learning systems that deliver personalized health metrics to users.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
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
Qualification
Required
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
Preferred
Master's or PhD degree preferred
Experience in training/fine-tuning/deploying Foundation AI models is a Significant Plus
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
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
Benefits
Meaningful equity
Benefits
Generous equity package
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
501-1000 employees
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M
Leadership Team
Will Ahmed
Founder & CEO
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
Recent News
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Company data provided by crunchbase