Job Description
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
QUALIFICATIONS:
Bachelor's degree in Computer Science Electrical/Computer Engineering Applied Mathematics or a related field; Master’s or PhD degree preferred
5+ years of experience as a Machine Learning Scientist or similar role with a focus on applied research preferably related to voice and/or text-based conversational systems
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
Top Skills
What the Team is Saying

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What We Do
At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
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Employees engage in a combination of remote and on-site work.
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Date Posted
04/22/2026
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