Engineering Manager, Offline Inference, Machine Learning Platform

Netflix's Machine Learning Platform (MLP) organization is seeking an experienced ML/AI infrastructure engineering leader to spearhead the development of their next-generation offline inference platform. This role sits at the intersection of ML infrastructure and leadership, focusing on building scalable solutions for ML practitioners across content, studio, consumer, ads, and games domains.

The position involves leading a newly formed team dedicated to architecting and launching a platform that handles large-scale ML models, including LLMs, computer vision, and foundation models. The platform will support models throughout their lifecycle, from research to production.

As an Engineering Manager, you'll be responsible for building and maintaining infrastructure that enables ML practitioners to run large-scale offline batch inference workflows. The role requires deep technical expertise in ML infrastructure and distributed systems, combined with strong leadership capabilities to grow and mentor a high-performing team.

The ideal candidate will bring 10+ years of software engineering experience, with at least 3 years in management. They should have a proven track record in building ML infrastructure, understanding of containerization technologies, and experience with ML frameworks. The role offers competitive compensation ranging from $190,000 to $920,000, reflecting Netflix's commitment to top market rates.

This position offers the opportunity to shape the future of ML infrastructure at one of the world's leading entertainment services, working with cutting-edge technologies and talented teams across various domains. The role combines technical leadership with strategic thinking, requiring someone who can both architect complex systems and lead teams effectively in a remote environment.