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 |
|---|---|---|
| Data Scientist 5 - AI Evals Netflix is seeking an experienced Senior Data Scientist specialized in AI Evals to architect systems and frameworks for measuring, validating, and optimizing GenAI systems in production for both player-facing games and internal agentic tools. The role involves building evaluation pipelines, curating datasets, designing experiments to link technical attributes with user experience, and guiding evaluations for agentic systems. | Eval GateAgent | 9 |
| Research Engineer 5 - LLM-Driven Product Understanding Research Engineer to research, develop, and iterate on LLM prototypes for member understanding, focusing on evaluation and simulation systems. The role involves driving roadmap, influencing product direction, and collaborating across teams, requiring strong deep learning, LLM, and software engineering skills. |
| Eval GatePost-train |
| 8 |
| Engineering Manager, AI Observability Netflix is seeking an experienced Engineering Manager to lead a newly formed AI Observability team. This role will architect, design, develop, and launch a new platform for monitoring ML and GenAI workloads, including LLMs, computer vision, and foundation models. The team will focus on making AI systems transparent, reliable, and production-ready by capturing model inputs, features, predictions, outcomes, and behavior. Key responsibilities include embedding observability by default, driving the end-to-end observability strategy, evolving LLM evaluation frameworks, defining and executing a platform roadmap, and hiring/mentoring a team. | Eval GateAgent | 8 |
| 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 |