Whoop
Senior Machine Learning Engineer , AI Platform
Boston, Massachusetts, USA · Senior · Full-time
Sponsorship not specified$150k-$210kDetected 28 days ago
Machine LearningData EngineeringData ScienceNLPLLMsA/B TestingCommunicationCollaboration
About the role
- This role is based in the WHOOP office located in Boston, MA.
Responsibilities
- Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products.
- Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product.
- Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model-based systems.
- Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs.
- Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production.
- Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior.
- WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations.
- WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product.
- In this role, you will own core components of the
Requirements
- Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits.
- Familiarity with best practices for secure, privacy-aware AI and working with sensitive data.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Skills
- Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework.
Compensation
- $150k-$210k
Company info
- At WHOOP, we're on a mission to unlock human performance and healthspan.
- Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.