Technical Lead, ML Operations

· Remote

Location

Remote

Type

Full Time

Job Description

WHOOPJobs
Technical Lead ML Operations

Technical Lead ML Operations

Reposted 4 Hours Ago
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Boston MA USA
Hybrid
7-7 Annually
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
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The Role
The Technical Lead for ML Operations at WHOOP will drive the strategy and execution of ML infrastructure lead a small team design scalable systems and collaborate with multiple stakeholders to enhance the ML platform.
Summary Generated by Built In

At WHOOP we're on a mission to unlock human performance and healthspan. WHOOP empowers members to live longer and perform at higher levels through a deeper understanding of their bodies and daily lives.

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.

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 (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.
  • Strong communication and collaboration skills with experience working across cross-functional stakeholders.

Skills Required

  • Bachelor's Degree in Computer Science Software Engineering or related field
  • 7+ years of software engineering experience
  • Experience in ML infrastructure and cloud-based systems
  • Previous experience leading or managing engineers
  • Strong technical expertise in AWS and distributed systems
  • Proficiency in programming (Python Java)
  • Experience building APIs data pipelines and real-time inference systems

What the Team is Saying

Josh
Manan Dedhia
Anahis

WHOOP Compensation & Benefits Highlights

  • Parental & Family SupportPolicies include 18 weeks of paid parental leave plus two additional weeks to support return-to-work. Feedback suggests this depth of leave is a standout element of the package.
  • Wellbeing & Lifestyle BenefitsOfferings span medical/dental/vision mental-health support a $500 wellness stipend daily meals onsite gym/recovery tools commuter benefits and free WHOOP memberships. These wellness-forward perks collectively signal strong everyday support for employees’ health and lifestyle.
  • Equity Value & AccessibilityStock options are granted at hire and ownership is emphasized as part of total rewards. Feedback suggests this equity component is valued alongside cash compensation.

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The Company
HQ: Boston MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston MA
Limerick Limerick V94 4D83 Ireland
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Date Posted

05/15/2026

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