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WHOOPWHOOPBoston, MA

Technical Lead, ML Operations

Technical Lead owns strategy, roadmap, and execution for ML platform components, leading a small engineering team while contributing hands-on to scalable infrastructure. Requires 7+ years experience in ML infra, AWS, Python/Java, and prior leadership.

Salary not listed
On-site7+ YOEML Engineering

About the role

Responsibilities

  • Own the technical vision, roadmap, and delivery for a core component of WHOOP’s ML platform, aligning with product and business priorities.
  • Lead and manage a small team of engineers by setting direction, prioritizing work, and ensuring high-quality execution against roadmap goals.
  • Drive end-to-end delivery of the team, including planning, unblocking, and maintaining a high bar for reliability, scalability, and performance.
  • Act as a player-coach by contributing hands-on to system design and critical components while mentoring engineers and supporting their growth through regular feedback and coaching.
  • Design and evolve scalable ML infrastructure and CI/CD systems, enabling efficient model deployment, monitoring, and lifecycle management.
  • Partner cross-functionally with Data Science, AI, Product, and Engineering to translate ambiguous requirements into robust platform solutions.
  • Establish and enforce best practices for architecture, observability, and operational excellence across ML systems.
  • Contribute to hiring and team building, helping to scale a high-performing ML platform team.

Qualifications

  • Bachelor’s Degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.
  • 7+ years of software engineering experience, including deep experience in ML infrastructure and cloud-based systems, and prior experience leading or managing engineers.
  • Proven track record of owning and delivering complex systems end-to-end, including driving execution through a team.
  • Experience managing or formally leading engineers, including mentoring, performance feedback, and supporting career development.
  • Strong technical expertise in AWS and distributed systems, with experience building scalable, production-grade ML platforms.
  • Proficiency in programming (Python, Java) and experience building APIs, data pipelines, and real-time inference systems.
  • Demonstrated ability to balance hands-on technical work with team leadership responsibilities.
  • Strong communication and collaboration skills, with experience working across cross-functional stakeholders.

Skills

ML InfrastructureAWSPythonJavaCI/CDDistributed SystemsData PipelinesAPIsObservabilityKubernetes

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