Engineering Manager - Model Development, Machine Learning Platform

Job Description

Netflix is seeking an experienced ML/AI infrastructure engineering leader to manage Model Development & Management (MDM) team and drive the next generation of model development platform.

Requirements

• 10+ years of software engineering experience and 3+ years leading engineering teams
• Experience in building state-of-the-art ML model development platforms covering the full model development lifecycle
• Deep familiarity with distributed ML infrastructure, containerization, dependency management, and ML frameworks
• Proficiency in ML frameworks like PyTorch, SageMaker, Ray, and Hugging Face
• Strong technical acumen and ability to mentor engineers
• Passion for translating ML practitioners' needs into platform offerings with automation and self-service capabilities
• Excellent communication and collaboration skills
• Experience developing and executing technical vision and roadmap
• Track record of attracting top talent and growing diverse engineering teams
• Experience managing hybrid teams across different geographies and time zones

Responsibilities

• Partner with ML practitioners and adjacent pillars to create a unified developer experience
• Drive strategy and vision of Model Development SDK
• Define Developer Experience (DX) KPIs and demonstrate impact through adoption
• Maintain and evolve current product offerings like Metaflow
• Communicate progress, milestones, and risks to stakeholders and senior leadership
• Hire, grow, and coach a diverse team across Core Frameworks and User Experience pods

Benefits

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.