Senior Machine Learning Research Engineer (Sensor Intelligence Group)

WHOOP is on a mission to unlock human performance and healthspan. They are seeking a Senior Machine Learning Research Engineer to join the Sensor Intelligence Group, where the role involves designing and training machine learning models to extract insights from sensor data and contributing to health features.

Responsibilities:

• 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