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Senior ML Platform Engineer

WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI · Healthcare

Job Description

WHOOP is a health and performance company that empowers members to achieve higher levels of well-being through deep understanding of their bodies. They are seeking a Senior ML Platform Engineer to join their ML Platform team in Boston. This role is crucial for scaling ML infrastructure and enabling efficient deployment of machine learning models across cloud environments. The position requires expertise in building robust ML platforms, implementing CI/CD pipelines, and developing observability tools. The ideal candidate will have 5+ years of experience in ML infrastructure, strong Python skills, and deep knowledge of cloud services. They'll work closely with Data Science and AI teams to enhance team efficiency and automate decision-making processes. The role offers the opportunity to work on cutting-edge AI applications in health technology, though it requires relocation to Boston. WHOOP values diversity and encourages applications even if candidates don't meet every qualification. The position involves working with state-of-the-art ML technologies and directly impacts the company's ability to deliver personalized health insights to its members. The role combines technical expertise with strategic thinking to build scalable AI solutions that enhance WHOOP's product offerings and member experiences.

Last updated 2 months ago

Responsibilities For Senior ML Platform Engineer

  • Architect, build, and maintain scalable ML infrastructure in cloud environments (e.g., AWS)
  • Develop and evolve MLOps platforms and frameworks for model deployment, versioning, drift detection, and lifecycle management
  • Implement end-to-end CI/CD pipelines for ML models using orchestration tools
  • Partner with Data Science, Sensor Intelligence, Data Platform teams
  • Build and maintain real-time and batch inference infrastructure
  • Design and collaborate on automated observability tooling
  • Leverage AI-powered tools and automation to reduce operational overhead
  • Contribute to internal platform documentation, SDKs, and training materials
  • Continuously evaluate emerging technologies and deployment strategies

Requirements For Senior ML Platform Engineer

Python
Kubernetes
  • Bachelor's or Master's Degree in Computer Science, Engineering, or related field
  • 5+ years of experience in software engineering with focus on ML infrastructure
  • Strong programming skills in Python
  • Deep knowledge of cloud-native services and infrastructure-as-code
  • Hands-on experience with model deployment platforms
  • Proficiency in ML lifecycle tools and containerization strategies
  • Understanding of data engineering and ingestion pipelines
  • Proven ability to work cross-functionally
  • Passion for AI and automation