Currently tracking 53 active AI roles, down 44% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $131k–$1500k (avg $606k).
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.
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 |
| 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. |
| 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 |
| 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. | ShipServe | 8 |
| Research Engineer 4/5 – AI for Member Systems Research Engineer at Netflix to apply ML expertise to design, develop, and scale personalization systems and algorithms for member experiences. This role involves creating production-ready ML solutions, optimizing models, and conducting experiments to improve key business metrics. | ShipPost-train | 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 4 - Pricing Science Machine Learning Scientist role focused on pricing science within a B2C subscription business. The role involves designing and implementing causal inference approaches and ML models to understand the impact of pricing actions on member behavior, conducting elasticity and willingness-to-pay research, and evolving measurement tools. The scientist will partner with Finance & Strategy and Product teams to translate findings into actionable business recommendations and own work from ideation to production systems. | 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 |
| Head of Technology - Ink Head of Technology for a GenAI-native animation studio, responsible for the end-to-end technology stack including artist tools, production workflows, infrastructure, security, and data platforms. This role involves defining technology strategy, leading engineering teams, enabling creative ambition through AI, and scaling operations for multiple productions. Key areas include generative workflows, asset management, inference/training technologies, data pipelines for model fine-tuning, and secure AI usage. | ShipData | 7 |
| Engineering Manager - Search & Voice Systems Engineering Manager for Netflix's Search & Voice Systems team, focusing on LLM advancements for content discovery and personalization. The role involves leading a team of engineers, developing roadmaps, and driving innovation in high-traffic distributed systems for search and recommendation experiences. | Ship | 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 |
| Senior Manager, Ads Forecasting DSE Netflix is seeking a Senior Manager for the Ads Forecasting team. This role will lead a team responsible for building and owning scalable forecasting platforms and models for ad supply, demand, and revenue. The team also develops simulators for campaign setup and ad delivery optimization. The ideal candidate will have deep domain expertise in ad forecasting and simulation, experience leading science/ML teams, and the ability to translate business objectives into analytical solutions. | 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 |
| Machine Learning Scientist (L4) - Content & Conversation Modeling Machine Learning Scientist to develop, optimize, and deploy scalable ML solutions for content strategy, acquisition, scheduling, and advertising at Netflix. The role involves end-to-end ML model development, from ideation to deployment and monitoring, with a focus on informing content decisions and partnering with cross-functional teams. | Ship | 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 |
| Senior Product Designer, GenAI Ad Formats Senior Product Designer focused on GenAI ad formats for Netflix's ad-supported tier. This role involves leading the design and execution of consumer ad experiences, building GenAI-powered pipelines for creative fulfillment and personalization, and identifying future ad strategies using AI-powered insights. The designer will collaborate with engineering and data science to create scalable, intelligent systems and prototype new AI-driven ad experiences. | Ship | 5 |
| Data Scientist 5 - TV & Interactive Discovery Data Scientist role focused on TV domain product innovation at Netflix, leveraging data science, experimentation, and emerging technologies like GenAI to improve member discovery experience. The role involves shaping product strategy, developing measurement frameworks, and influencing decisions through trustworthy outputs, with a focus on AI-assisted analytical workflows. | Ship | 5 |
| 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 |
| Data Scientist 5 - Personalization Algorithms Performance Netflix is seeking a Senior Data Scientist with ML and causal inference expertise to lead analytics, data science, and strategy for core personalization algorithms. The role involves partnering with product and engineering teams to shape the personalization roadmap and evolve capabilities powered by advanced ML/AI. Responsibilities include leveraging experimentation and causal inference for insights, building robust metrics and measurement frameworks, and exploring trends in content discovery. | Ship | 5 |
| Manager, Data Engineering Manager for Enterprise Data Science & Engineering team focusing on measuring AI's impact on enterprise productivity and ensuring data health. This role involves leading a team, partnering with stakeholders, and owning the roadmap for enterprise data products. | 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 |
| Compositor - Ink Netflix is seeking Compositors to join their Inkubator team, focusing on creating animated shorts and specials using experimental GenAI-native production pipelines. The role involves integrating generative AI outputs with CG renders, 2D elements, and other sources into polished, cohesive shots using Nuke and adjacent tools. Responsibilities include collaborating with filmmakers and artists, applying compositing skills, contributing to look development, and documenting workflows. Experience with stylized animation and a familiarity with Generative AI imagery are important, with opportunities to build workflows and refine best practices for hybrid compositing. | 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 |
| Producer - Inkubator Producer for Netflix's Inkubator team, leading short-form content creation using Generative AI and emerging technologies. This role involves balancing creative ambition with production milestones, managing schedules and budgets, and guiding small teams to implement GenAI into workflows. The Producer will evaluate tools, oversee documentation of GenAI workflows, and identify opportunities for templating and automation. | 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 |
| Data Scientist 5 - Member Value Research Netflix is seeking a Senior Data Scientist to drive foundational research in member value, focusing on causal inference and experimentation to understand member engagement with content and interaction types. The role involves developing new metrics, experimentation strategies, and measurement frameworks to guide product decision-making and influence strategy within a collaborative environment. | Ship | 5 |
| Software Engineer 5 - Commerce Design System Netflix is seeking UI Engineers to build a Design System from the ground up for their Commerce business domain. The role involves developing React-based UI components, leveraging TypeScript/JavaScript and modern CSS frameworks. A key aspect is developing AI-driven tools to enhance development workflows and the efficiency of design system users. The role also includes strategy, roadmap definition, and collaboration with design and product teams to drive adoption across web and TV platforms. | Ship | 5 |
| GenAI Technology Integration Manager, Production Solutions - APAC This role focuses on integrating Generative AI technologies into Netflix's production workflows, partnering with filmmakers and creative professionals to explore how AI can enhance storytelling. The manager will assess team readiness, guide AI adoption, ensure compliance, and translate field learnings into practical guidance and scalable education. The role requires hands-on experience with AI-based image and video production and proficiency in industry tools. | 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 |
| Data Scientist L6 - Games Portfolio Senior Data Scientist (L6) at Netflix Games Portfolio Team, focusing on technical leadership for forecasting, metrics, audience insights, and transmedia research. The role involves developing and operating forecasting models, empowering the team, mentoring, and acting as a strategic partner to leadership. Requires expertise in statistical modeling, causal inference, time series analysis, and applied ML, with experience in building and deploying models at scale. | Ship | 5 |
| Data Scientist (L5) - Content Understanding Netflix is seeking a Data Scientist to join the Merchandising and Content Understanding team. This role will focus on developing content understanding signals across all formats and improving the discovery experience on their service. The Data Scientist will act as a strategic partner, define and execute roadmaps for measuring impact and improving member experience using Causal Inference and Machine Learning, and partner with other leaders to refine and scale Causal Inference model-based systems. The role requires a proven track record in Experimentation and Causal Inference methods, proficiency in Python, SQL, and common Causal Inference frameworks, and 4+ years of relevant experience. | Ship | 5 |
| Senior Full-Stack Engineer (4 /5) - Games, Partner Technologies and Business Product Engineering Senior Full-Stack Engineer for Netflix's Workplace Productivity Engineering (WPE) team. This role involves building and operating internal platforms and tools for employee productivity and travel management. The engineer will apply AI and GenAI responsibly to solve enterprise productivity problems, design integration infrastructure, and build full-stack solutions including React UIs and REST/GraphQL APIs. The focus is on turning manual workflows into reliable, self-service products. | Ship | 5 |