Technical Lead, ML Operations

Responsibilities

• Own the technical vision, roadmap, and delivery for a core component of WHOOP’s ML platform.
• Lead and manage a small team of engineers by setting direction, prioritizing work, and ensuring high-quality execution.
• Act as a player-coach by contributing hands-on to system design while mentoring engineers and supporting their growth.
• Design and evolve scalable ML infrastructure and CI/CD systems for efficient model deployment and monitoring.
• Partner cross-functionally with Data Science, AI, Product, and Engineering to translate requirements into robust platform solutions.
• Establish best practices for architecture, observability, and operational excellence across ML systems.

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, or a related field.
• 7+ years of software engineering experience, including deep expertise in ML infrastructure and cloud-based systems.
• Proven experience leading or managing engineers, including mentoring and performance feedback.
• Strong technical expertise in AWS and distributed systems.
• Proficiency in programming languages such as Python or Java.
• Experience building APIs, data pipelines, and real-time inference systems.
• Ability to balance hands-on technical work with team leadership responsibilities.

About the Company

WHOOP is 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.