Netflix has 86 active AI-related job listings. The majority of these roles are focused on agents, comprising 34% of the total, and application development, at 33%. Engineering is the primary function for these positions. The company is actively hiring for roles involving model serving, fine-tuning, and recommender systems. Over the last 30 days, Netflix has added 22 new AI roles, representing a 16% increase compared to the previous 30-day period.
Currently tracking 53 active AI roles, down 44% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$1500k (avg $606k).
Netflix currently has 80 active AI-related roles in our index. The most common open titles are: AI Engineer 6 - AI Foundation & Tooling, Ads Platform, AI Product Manager, Content Platform Operations & Publishing, AI/ML Scientist Intern, AIMS AI Foundations (PhD) – Fall 2026, Analytics Engineer 5 - Ad Ranking, Art Director - Ink. Most positions are in Engineering and Research.
Netflix's active AI hiring is concentrated in: agents (36%), application (24%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Netflix is hiring AI talent in: United States (76 roles), Poland (4 roles), Canada (3 roles).
Job postings at Netflix most frequently mention: Machine Learning, Ads & Ranking ML, Production ML Systems, Generative AI, Data Science.
In the past 30 days, Netflix has posted 12 new AI-related roles. That is a -33% change versus the prior 30 days (18 → 12).
| Title | Stage | AI score |
|---|---|---|
| Product Manager - Netflix Artist Experience Product Manager at Netflix focused on integrating generative AI capabilities into a unified artist studio experience for creative tooling, specifically for image and video generation, modification, and editing. | ShipAgent | 8 |
| Product Manager - AI Video Product Manager for AI Video at Netflix, focusing on capabilities from pitch to post-production. Drives AI/ML product strategy, translating creative needs into technical requirements and collaborating with R&D and engineering to deploy AI models for video production. | ShipPost-train |
| 8 |
| Senior Applied AI Lead, Talent Senior Applied AI Lead for Netflix's Talent team, focusing on identifying, prototyping, and shipping AI-powered capabilities across the full Talent lifecycle. The role bridges Talent domain expertise with AI fluency, building working prototypes and translating them into production partnerships with engineering. | Agent | 7 |
| Senior Product Designer, AI Enablement Senior Product Designer for AI Enablement at Netflix, focusing on architecting agentic platform experiences and intelligent infrastructure for the Ads Suite. This role involves defining scalable patterns for AI integration, operationalizing agentic workflows, and serving as a quality gatekeeper for AI outputs, bridging design and ML engineering. | Agent | 7 |
| Creative Evaluation Lead, Artwork Netflix is seeking a Creative Evaluation Lead, Artwork to bridge creative, product, and technical teams to transform promotional artwork workflows using AI. This role involves contributing to AI R&D, evaluating AI model outputs, executing AI solutions for content launches, building learning loops, translating creative needs into AI opportunities, leading training, and staying updated on AI advancements in imagery. The ideal candidate has extensive creative making experience, familiarity with AI image tools, and experience with QC processes for artwork assets. | Eval GatePost-train | 7 |
| Director of Product, Catalog and Content Understanding, Content Platform Operations & Publishing Director of Product role at Netflix focused on scaling content understanding systems using AI/ML. The role involves driving product strategy, leading product managers and functional teams (operations, ratings, analysts, editorial) to automate and scale areas like ratings, content analysis, and catalog management. It requires experience with ML/AI solutions, shipping AI-powered products, and understanding of computer vision methods. | Ship | 7 |
| AI Product Manager, Content Platform Operations & Publishing Product Manager role at Netflix focused on integrating AI/ML into content platform operations and publishing tools to create personalized experiences, automate asset creation, and optimize content distribution. Requires experience with the ML lifecycle, launching AI-enabled products, and evaluating ML techniques. | Ship | 7 |
| AI Product Manager, Content Platform Operations and Publishing Product Manager role at Netflix focused on integrating AI/ML into content platform operations and publishing tools to create personalized experiences and optimize content promotion, localization, and distribution. The role involves building strategic roadmaps, leading incubation of new AI capabilities, and translating AI advancements into scalable products. | Ship | 7 |