Senior Machine Learning Engineer (Sensor Intelligence)

WHOOP

United States

United States

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À propos

divh2Senior Machine Learning Engineer/h2pAt WHOOP, were on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives./ppWHOOP 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 will contribute to both member-facing and regulated health features, requiring a strong balance of ML rigor, production readiness, and regulatory awareness. 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. Join us in pushing the boundaries of wearable technology and positively impacting peoples lives!/ph3Responsibilities:/h3ulliDesign and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data./liliValidate and maintain DL/ML algorithms for regulated health features, ensuring compliance with applicable regulatory and quality requirements./liliSupport documentation for regulated health features./liliWrite clean, efficient, and maintainable code that is production ready./liliMonitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality./liliConduct 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. Prepare comprehensive reports for cross-functional teams./liliStay up to date with the latest advancements in AI/DL research and technologies./liliContribute 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./liliOwn 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./liliMentor team members in ML engineering best practices./li/ulh3Qualifications:/h3ulliBachelors degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field; Masters or PhD degree preferred./lili5+ years of work experience as a Machine Learning Engineer working on research and development problems (4+ years for those with Masters degree and 2+ years for those with PhD degree). The requirements may be relaxed for exceptional candidates./liliExperience 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 significant plus./liliSolid 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./liliStrong 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./liliStrong experience with multiple DL architectures is expected. Experience in training/fine-tuning/deploying Foundation AI models is a plus./liliProficiency in Python (scientific stack), ML/DL frameworks and libraries, e.g. PyTorch, TensorFlow./liliDemonstrated 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./liliStrong communication (both written and oral) and collaboration skills across cross-functional teams./liliStrong 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./liliDemonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines./li/ulpThis role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office./ppInterested in the role, but dont 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./p/div

United States

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English

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