Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)

Description du poste

WHOOP is seeking a Senior ML Research Engineer to join the Sensor Intelligence Group (SIG) This role will contribute to both member-facing and regulated health features, requiring balance of strong rigor in Machine-learning and Deep-learning fundamentals, and clinical-data/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 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 Stay up to date with the latest advancements in DL research and technologies Support documentation of the algorithms for regulated health features Write clean, efficient, and maintainable code Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality 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. Prepare comprehensive reports for cross-functional teams 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 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

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