Senior Machine Learning Scientist (Sensor Intelligence)
About The Position
At WHOOP, the mission is to unlock human performance and healthspan by empowering members with a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team that collaborates across WHOOP Labs, Firmware, and Data Science. This role is crucial for developing and scaling machine learning systems that power the most foundational health features at WHOOP. The successful candidate will enable next-generation AI coaching at Whoop, developing robust algorithms for constrained edge and cloud environments, ultimately delivering meaningful and personalized coaching to millions of members.
Requirements
- Bachelor's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field
- 5+ years of experience as a Machine Learning Scientist or similar role with a focus on applied research
- Experience training, fine-tuning, and deploying state-of-the-art deep learning architectures to production
- Experience with time-series foundation models and self-supervised training approaches
- Experience pre-training and fine-tuning small language models and/or building natural language understanding (NLU) models than run on resource-constrained targets
- Experience with cloud platforms (AWS or GCP) and familiarity with modern MLOps practices such as CI/CD, model versioning, monitoring, and observability
- Strong communication 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
Nice To Haves
- Master's or PhD degree preferred
- Preferably related to voice and/or text-based conversational systems
Responsibilities
- Research, architect, and develop ML systems for member coaching distributed between edge hardware and the cloud
- Collaborate with machine learning and edge ML engineers to translate prototypes into production
- Partner with product and user experience teams to ensure consistent user experience in bandwidth-constrained environments and to align with member impact and health insights goals
- Contribute to architectural decisions and mentor team members in ML best practices
Benefits
- Competitive base salaries
- Meaningful equity
- Benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
