Netflix · 2 days ago
Engineering Manager - Model Development, Machine Learning Platform
Netflix is one of the world's leading entertainment services, and they are seeking an experienced ML/AI infrastructure engineering leader to manage the Model Development & Management team. This role involves architecting and building a cohesive SDK and templates for model development, enabling teams to efficiently create and iterate on large-scale models across various applications.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Partner with ML practitioners and adjacent pillars (Feature/Data, Training, Serving, Evaluation) to translate needs into a unified developer experience that hides infrastructure complexity while preserving expert control
Drive the strategy and vision of the Model Development SDK—owning the portfolio of existing and new products, making build‑vs‑buy choices, and integrating libraries/frameworks into the unified platform
Build and execute a metrics‑led roadmap: define Developer Experience (DX) KPIs, plan incremental delivery and migrations, and demonstrate impact through adoption and reuse
Maintain and evolve current product offerings that are widely adopted both in OSS and internally (e.g., Metaflow)
Communicate progress, milestones, and risks to stakeholders, customers, and senior leadership
Hire, grow, and coach a diverse team across Core Frameworks and User Experience pods (and incubate Exploratory Infra as needs emerge), fostering an inclusive, high‑ownership culture
Qualification
Required
10+ years of software engineering experience and 3+ years building and leading engineering teams
Experience leading teams responsible for building state‑of‑the‑art ML model development platforms that cover the full model development lifecycle
A track record working on distributed ML infrastructure that spans laptop‑to‑cluster execution, supports multi‑node GPU training, and serves large‑scale models (recommenders, computer vision, LLMs, multimodal GenAI)
Deep familiarity with containerization/orchestration, dependency and environment management (e.g., pinned specs, environment locks), and secure packaging practices for reliable, repeatable runs
Proficiency with ML frameworks and commercial ML/AI infrastructure, such as PyTorch, SageMaker, Ray, and Hugging Face, etc
Strong technical acumen: act as a credible technical advisor to the team, set and enforce a high‑quality bar for code and system design, and mentor engineers across levels
A passion for translating the needs of ML practitioners into platform offerings with an emphasis on automation and self‑service capabilities
Strong communication and collaboration skills, with the ability to build durable relationships with internal customers and external partners
Demonstrated ability to develop, drive, and execute a technical vision and roadmap
A track record of attracting top talent and growing a high‑performing, diverse team of tenured engineers to deliver results in a fast‑paced environment
Experience managing a hybrid team with partners and team members distributed across U.S. geographies and time zones
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Recent News
2026-01-06
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