Netflix · 1 day ago
Principal ML/AI Architect – AI for Member Systems (AIMS)
United States
Full-time
Remote
Lead/Staff
$310K/yr - $1,870K/yrNetflix is one of the world's leading entertainment services, with over 300 million paid memberships. They are seeking a Principal ML/AI Architect to provide deep technical leadership in shaping the ML infrastructure and systems that power recommendations, personalization, search, and discovery.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Own the Architectural Vision for ML Infrastructure: Define and evolve the core architecture for AIMS’ AI foundations, including data and feature pipelines, training and evaluation workflows, online inference and serving, and shared services for recommendations, search, discovery, and messaging
Architect Paved Paths for AI Product Teams: Design the “paved road” for AIMS teams to build and deploy ML models and GenAI capabilities, enabling fast iteration while benefiting from consistent patterns in data access, training, evaluation, rollout, and monitoring
Sequence and Layer ML Capabilities Thoughtfully: Architect how different layers of ML capability (e.g., embeddings and retrieval, ranking and personalization, LLM/GenAI components, evaluation and safety) fit together over time. Make intentional decisions about centralizing vs. decentralizing capabilities
Create Reusable, Horizontal ML Components: Design new capabilities (e.g., representation services, evaluation frameworks, LLM-powered features) as reusable building blocks that can be extended across multiple member experiences, avoiding silos
Scope and De-risk New Architectural Directions: Explore new technical directions through prototypes and proofs of concept, especially where optimal abstractions are not yet clear. Use hands-on work to validate approaches and inform long-term decisions
Connect Dots Across AIMS Verticals: Understand how different AIMS pillars (Recommendations, Search & Discovery, Evidence/Evaluation, LLMs/Foundations, Messaging) use and extend ML infrastructure, identifying opportunities to consolidate, simplify, or generalize solutions
Shape Requirements with Platform and Infra Partners: Advocate for AIMS’ ML infrastructure needs with platform and infrastructure teams. Translate requirements into actionable capabilities and ensure architectural alignment with broader Netflix platforms
Champion Technical Excellence and Best Practices: Raise the bar on reliability, observability, performance, and cost-effectiveness of AIMS’ ML systems. Guide standards and practices (e.g., evaluation, rollout, guardrails) and mentor senior engineers across teams
Qualification
Required
Significant experience designing and building ML systems in production, including data pipelines, training/evaluation workflows, and online serving for high-traffic, ML-driven products
Strong working knowledge of contemporary ML approaches, such as recommendation/ranking systems and LLM/GenAI applications. Able to design infrastructure that supports these models effectively
Capable of independently building prototypes, exploring new technologies, and turning ambiguous problems into concrete architectural proposals and reference implementations
Proven ability to identify common patterns and design frameworks/abstractions that are flexible, extensible, and easy for engineers to adopt
Comfortable working with and influencing senior engineers and leaders across multiple teams. Skilled at building consensus and guiding complex trade-offs without formal authority
Thrives in a setting with high autonomy and expectations. Navigates ambiguity, makes informed bets, and iterates quickly to optimize AI's impact for members
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
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
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
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