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 |
|---|---|---|
| Machine Learning Scientist 5 - Ads Bidding Netflix is seeking a Machine Learning Scientist 5 for their Ads Bidding team to design and implement ML-driven bidding algorithms for ad performance optimization. This role involves building, training, and evaluating these algorithms on large-scale production data, developing evaluation frameworks, and partnering with product teams. The goal is to deliver highly relevant ad experiences and drive advertiser results within Netflix's ad tech ecosystem. | Ship | 8 |
| Technical Director, GenAI - Games Technical Director for GenAI in the Games organization at Netflix, responsible for driving the engineering strategy, leading teams, developing AI-native gameplay mechanics, and scaling core GenAI capabilities like model inference and fine-tuning pipelines for player experiences. | Ship |
| 8 |
| Machine Learning Scientist (L6) - Live Ads Netflix is seeking a Machine Learning Scientist (L6) to serve as a vertical technical lead for their Live Ads ML problem areas, including forecasting, targeting, personalization, bidding, pacing, auction, and yield optimization. The role involves defining and driving the ML technical roadmap, architecting and delivering ML solutions, designing and implementing algorithms, building, training, and evaluating models on large-scale production data, and developing evaluation frameworks. The ideal candidate has 7+ years of experience building and shipping production ML systems, deep knowledge of ML and optimization, and experience in ad optimization. | Ship | 7 |
| Machine Learning Scientist 5 - Ad Ranking Machine Learning Scientist role focused on ad ranking and personalization at Netflix, involving designing, implementing, and evaluating ML models and optimization algorithms on large-scale production data. The role requires strong collaboration with product teams and communication of technical results to stakeholders. | ShipEval Gate | 7 |
| Software Engineer 4/5– AI for Member Systems Software Engineer for AI for Member Systems at Netflix, focusing on designing, developing, and scaling machine learning algorithms that power the Netflix experience. This role involves collaborating with researchers and product managers to improve personalization systems, enable offline experiments, and drive the implementation of scalable, production-ready solutions for algorithms. The engineer will also contribute to better software engineering practices and systems. | ShipServe | 7 |
| Art Director - Ink Art Director for Netflix's Ink team, focusing on creating animated shorts and specials using experimental GenAI-native production pipelines to achieve feature-quality content. This role involves guiding artists, defining visual aesthetics, and partnering with directors and technology teams to develop and iterate on filmmaking workflows that integrate traditional tools with emerging GenAI technologies. | Ship | 5 |
| Manager, Identity and Signals - Ads DSE Manager for Netflix's Ads Identity and Signals team, focusing on developing Identity Science capabilities and extracting signals for ad optimization models. This role involves leading ML Scientists and Data Scientists to drive business use cases like ad measurement, attribution, targeting, and ad ranking/bidding systems. | Ship | 5 |
| Machine Learning Scientist 4 - Subscription Forecasting Machine Learning Scientist role at Netflix focused on building and productionizing forecasting models for subscription revenue, ARPU, and member base. The role involves scenario modeling, contributing to the forecasting pipeline, and partnering with business leaders to translate model outputs into recommendations. Requires expertise in time series and regression methods, production systems, Python, SQL, and ML libraries. | Ship | 5 |
| Software Engineer 4, N-Tech Systems Engineering Software Engineer 4 on the N-Tech Systems Engineering team at Netflix, responsible for developing internal solutions to streamline employee productivity and enhance the overall employee experience. The role involves designing, developing, and maintaining scalable, high-performing full-stack applications, including integrating AI and GenAI responsibly to solve enterprise problems. | Ship | 5 |
| Data Scientist 5 - Games Netflix is seeking a Senior Data Scientist for its Games DSE team to lead experimentation, modeling, and advanced data science initiatives. The role involves partnering with product and cloud gaming stakeholders to drive data-informed decisions by building ML models, conducting statistical analysis, and deriving business insights. The Data Scientist will also lead experiments, develop ML models to enhance player experience, and communicate insights to technical and non-technical stakeholders. | Ship | 5 |
| Data Scientist 5 - Infrastructure Experimentation Netflix is seeking a Senior Data Scientist for Infrastructure Experimentation to build and maintain ML models that predict the infrastructure cost impact of A/B experiments. This role involves partnering with engineering teams to measure, model, and surface infrastructure impact, enabling more holistic decisions that balance member impact with infrastructure performance. The ideal candidate has experience in experimentation, causal inference, and applied ML within the infrastructure domain. | Ship | 5 |
| Analytics Engineer 5 - Ad Ranking Netflix is building an in-house ad tech ecosystem and is looking for an Analytics Engineer to join the Ads Ranking team. This role will focus on designing and implementing data models and pipelines, developing metrics and dashboards, analyzing data to optimize ad delivery and revenue, and enabling A/B testing. The role also involves developing monitoring solutions for ML models and experimenting with Generative AI solutions. | Ship | 5 |
| Software Engineer 5 - Talent Technology Software Engineer 5 at Netflix focused on building internal tools and integrations to improve employee productivity, with a significant component involving the application of AI, GenAI, and LLMs to solve enterprise problems and enhance employee-facing applications. | Ship | 5 |