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Technical Lead (ML Operations)

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Onsite

Technical Lead (ML Operations)

WHOOP

Technical Lead (ML Operations)

Skills

PythonData ScienceJavaMachine LearningAIAWS

1 month ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $215,000 / year

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

11 September 2026

What they need


  • We are seeking a senior engineer to operate as a Technical Lead on the WHOOP MLOps team
  • This individual will own the strategy, roadmap, and execution for a critical component of our ML platform. This is a hybrid individual contributor and leadership role where you will set technical direction and lead a small team, while driving architectural decisions, and partnering closely with Data Science, AI, and Engineering teams to scale WHOOP’s machine learning capabilities
  • In this role, you will be responsible not only for building and optimizing ML infrastructure, but also for defining the long-term vision of your domain, aligning stakeholders, and ensuring successful delivery through both hands-on contributions and technical leadership
  • 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

Benefits

  • Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
  • Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
  • Get Invested: In addition to a competitive base salary and 401k, you’re eligible to receive stock options to share in the future of WHOOP.
  • WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
  • Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
  • Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
  • It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
  • Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.- Strong communication and collaboration skills, with experience working across cross-functional stakeholders
  • Proven track record of owning and delivering complex systems end-to-end, including driving execution through a team
  • Bachelor’s Degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience
  • Strong technical expertise in AWS and distributed systems, with experience building scalable, production-grade ML platforms
  • Experience managing or formally leading engineers, including mentoring, performance feedback, and supporting career development
  • Proficiency in programming (e.g., 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
  • 7+ years of software engineering experience, including deep experience in ML infrastructure and cloud-based systems, and prior experience leading or managing engineers
  • Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply

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