# Technical Lead, ML Operations

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** ML Infrastructure, AWS, Python, Java, CI/CD, Distributed Systems, Data Pipelines, APIs, Observability, Kubernetes
**Posted:** 2026-04-30

> 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.

## Job Description

## 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.

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