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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