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WHOOPWHOOPBoston, MA

Senior Machine Learning Scientist (Sensor Intelligence)

Develops and scales ML systems for AI coaching on edge hardware and cloud, focusing on time-series models, small language models, and NLU for health insights. Requires 5+ years experience, deep learning expertise, and collaboration across teams.

Salary not listed
On-site5+ YOEML Engineering

About the role

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 that 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

Skills

Deep LearningTime-Series ModelsSelf-Supervised LearningSmall Language ModelsNatural Language UnderstandingNluAWSGCPMLOpsCI/CDModel Versioning

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