Netflix Engineering Manager Offline Inference Machine Learning Platform 

United States, Oregon 

572169952

• Partner with Applied Research and backend application teams to understand their needs and gather and iterate on the platform's requirements.

• Drive the architecture, design, build vs. buy evaluation, and execution of the offline inference platform. Strive for extensibility and ensure the platform can scale to meet the needs of the evolving ML/AI landscape.

• Build a roadmap focused on incremental delivery. Define success metrics, align on migration goals, and drive the platform's adoption.

• Communicate progress to stakeholders, customers, and senior leadership.

• Maintain existing platform offerings, balancing immediate needs in current systems while prioritizing the development of the next-gen platform.

• Hire and grow diverse, highly talented engineers while maintaining and fostering an inclusive team culture.

• 10+ years of software engineering experience and 3+ years of management experience.

• Experience leading teams responsible for building high-traffic distributed systems and ML infrastructure

• Experience with containerization and orchestration technologies to support data preparation, processing, and inference for large-scale ML models.

• A proven understanding of ML frameworks and commercial ML/AI infrastructure, such as PyTorch, SageMaker, Ray Serve, and HuggingFace.

• Strong technical acumen and can act as a credible technical advisor to the team, set and enforce a high-quality bar for code and system design, and be a mentor for the team.

• A passion for translating the needs of ML practitioners into infrastructure offerings with an eye toward automated and self-serve capabilities.

• Strong communication and collaboration skills and ability to build strong relationships with internal customers and external partners.

• A demonstrated ability to develop, drive, and execute a technical vision and roadmap.

• A track record of attracting top talent and leading and growing high-performance, diverse, and highly talented tenured engineers deep into their careers to maximize their impact and deliver results in a fast-paced and dynamic environment.

• Experience managing a hybrid team with partners and team members distributed across (US) geographies & time zones.

To learn more about our ML Platform, you can review the relevant talks/blog posts on the

Job is open for no less than 7 days and will be removed when the position is filled.