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 - 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 |
| Manager, Data Science & Engineering - Title & Launch Management Manager for a Data Science and Engineering team at Netflix, focusing on building automated systems and AI/agentic solutions for content launch and promotion. The role involves leading a multidisciplinary team, shaping strategy, and driving execution of end-to-end AI solutions. | Agent |
| 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 |
| Software Engineer 5 - Inkubator Software Engineer to build enterprise-wide technology and platforms for an AI-native production environment for animated shorts and specials. The role involves evaluating AI developments, packaging workflows, prototyping, and developing tools for artists and technical directors to support scalable GenAI-native production. | Agent | 7 |
| Technical Director - Inkubator Netflix is seeking Technical Directors for its Inkubator team to create animated shorts and specials using experimental, creative-led, GenAI-native production pipelines. The role involves supporting show-specific workflows, strategizing with artists to develop creative solutions, providing tool support, documenting training materials, and beta testing new tools. A key responsibility is identifying and performing custom fine-tuning for models based on show requirements, integrating both internal and external tooling. The role also involves monitoring artist pain points, troubleshooting data handoffs, evaluating new tool releases, identifying standardization opportunities, and collaborating on compute and workstation requirements. | Post-trainServe | 7 |
| Machine Learning Engineer (L4/L5) - Emerging Game Technologies Machine Learning Engineer focused on MLOps, deployment, and performance optimization for AI-driven game concepts, bridging research and production for cloud and edge environments. | Serve | 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 |
| 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 |
| Machine Learning Engineer 5 - Ads Inventory Management & Forecasting Machine Learning Engineer at Netflix focused on Ads Inventory Management & Forecasting. The role involves building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems, handling large data volumes with Spark, and productionizing predictive models for campaign effectiveness forecasting. It also includes building scalable simulation solutions for inventory scenarios and collaborating with cross-functional teams. | ServeData | 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 |
| Engineering Manager, Core Applications - AI for Member Systems Engineering Manager for Core Applications AI team at Netflix, focusing on building foundational AI capabilities for member systems, including reward models, entity libraries, LLM post-training frameworks, and utility optimization. The role involves leading a team, setting vision, designing APIs, and partnering with other teams to ensure adoption and integration of shared components. | Post-trainAgent | 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 |
| Research Scientist 5, Identity - Ads DSE Research Scientist role focused on identity modeling for Netflix's ad-tier members, involving machine learning, statistics, and data analysis techniques. The role requires experience in identity graphs, privacy, differential privacy, and anonymization to improve advertiser performance and member experience. Responsibilities include applying ML to business problems, identifying research opportunities, diagnosing data/model assumptions, delivering documented outputs, and serving as a strategic partner to stakeholders. | Data | 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 |
| Machine Learning Engineer 5 - Ads Platform Engineering Netflix is hiring Machine Learning Engineers for their Ads Platform Engineering teams. The role involves building and deploying ML models for low-latency real-time ad systems, focusing on areas like inventory forecasting, ad serving, programmatic interfaces, member experience, and audience targeting. Responsibilities include developing and productionizing predictive models for campaign effectiveness, yield optimization, bid ranking, and dynamic allocation, as well as building scalable simulation solutions. Experience with big data tools like Spark and proficiency in languages like Java, C++, Python, or Scala are required. | ServeAgent | 7 |
| Software Engineer L4/L5, Model Serving Systems, Machine Learning Platform Netflix is seeking a Software Engineer for their Machine Learning Platform team to develop and expand their model serving systems, focusing on infrastructure for LLMs and other large foundation models. The role involves building scalable, robust systems for online ML model inference, optimizing for latency and cost, and ensuring high availability and performance. This is a highly cross-functional role partnering with various engineering and data science teams. | ServeAgent | 7 |
| Software Engineer L4/L5 Training Platform, Machine Learning Platform Software Engineer on the Machine Learning Platform (MLP) team, responsible for designing and building the platform that powers large-scale machine learning model training, fine-tuning, model transformation, and evaluations workflows for the entire company. Focuses on optimizing systems and models for scale and cost-effectiveness, and designing user-friendly APIs for ML practitioners. | DataPost-train | 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 |
| Associate. Product FP&A Associate Product FP&A role at Netflix, partnering with Product Management, Design, and Tech leads to drive financial and volume forecasting, headcount planning, and financial business case analyses for emerging product areas. Focus on informing strategic business decisions and optimizing monetization, member experience, and cost efficiency. | — | 5 |
| Manager, Creative Innovation Manager role focused on understanding how emerging technologies like AI influence production practices in the entertainment industry, acting as a liaison between creators and technology, and shaping industry conversations. This role is not a hands-on technical or product development role but rather focuses on the intersection of creativity, technology, and industry adoption. | — | 5 |
| Manager, Technical Program Management - Content & Business Products Manager, Technical Program Management for Content & Business Products at Netflix, focusing on enterprise solutions that streamline the content lifecycle, including GenAI tooling and business transformations. The role involves leading a TPM organization, orchestrating large-scale programs, managing cross-functional integrations, and ensuring high-quality, metrics-driven execution within complex regulatory environments. | — | 5 |
| Senior Visual Designer, Emerging Creative Senior Visual Designer at Netflix focused on creating multimedia experiences that blend motion, audio, visuals, and storytelling to amplify the Netflix brand and drive innovation. The role involves visual design across various surfaces, crafting cinematic storytelling experiences, and prototyping high-fidelity concepts. While not directly building AI models, the role requires fluency with AI design tools to enhance workflow efficiency and design quality, contributing to the development of AI-enhanced consumer products. | — | 5 |
| Technical Program Manager - Games Social, Trust and Safety This role is for a Technical Program Manager (TPM) at Netflix Games, focusing on social features and trust & safety. The TPM will drive programs for friend systems, multiplayer features, and communication capabilities, ensuring they are safe and scalable. They will partner with product managers, engineers, designers, and data scientists, and need to understand social system architectures, real-time communication, content moderation, and safety tooling. The role requires managing cross-functional dependencies and operating with technical depth. While the role uses AI tools, it is not directly building AI models or systems, but rather managing programs that may incorporate them. | — | 5 |
| Analytics Engineer 5 - Content Finance DSE This role is for an Analytics Engineer at Netflix, focusing on building data products, metrics, and insights for the Content Finance team. The role involves strategic partnership with stakeholders, owning business-critical data products end-to-end, and driving root-cause analysis. While the role leverages AI tools for development acceleration, its core function is in data engineering and analytics for financial planning and content investment strategy, not in building AI models themselves. | — | 5 |
| Software Engineer 6 - Creative Studio Software Engineer 6 role focused on building backend services and APIs for Netflix's advertising creative studio. This involves developing data pipelines and service architecture for GenAI-powered creative formats, instant previews, auto-assembly, and automated workflows to improve advertiser experience and efficiency. The role requires strong backend engineering, system design, and experience integrating with GenAI models. | Agent | 5 |
| Treasury Analyst This role is for a Treasury Analyst at Netflix who will manage bank accounts and operations, and importantly, act as a bridge between finance and technology by utilizing AI and ML tools to improve treasury solutions, reduce manual work, and provide insights. The role involves collaboration on system enhancements and compliance efforts, with a focus on automation and data quality. While the core function is treasury operations, there's a significant emphasis on exploring and implementing AI/ML-driven solutions within the treasury domain. | — | 5 |
| Manager, Portfolio Management Strategy and Data Analytics Manager for Portfolio Management Strategy and Data Analytics at Netflix, focusing on space planning, occupancy, and real estate decisions. The role involves leading the development of analytical tools and reporting infrastructure, with a specific emphasis on leveraging and iterating on AI-powered tools for forecasting, floor plan analysis, and reporting automation. This is a senior individual contributor role partnering with various levels of the Portfolio Management team. | — | 5 |
| Software Engineer 5 – Model Development and Management, AI Platform Software Engineer 5 on the AI Platform team at Netflix, focusing on building the user interface layer to accelerate the ML lifecycle. This role involves gathering requirements, designing, and implementing products for model creation, evaluation, experimentation, and deployment, working closely with researchers and data scientists. | Serve | 5 |
| HR Program Manager, Partnerships and Ads Netflix is seeking an experienced HR Program Manager to join their Ads and Partnerships HR team. The role involves owning and driving complex, cross-functional HR programs, managing operational backbones, keeping distributed teams aligned, building people analytics and insights, and leveraging AI and technology as core tools. The ideal candidate will have strong program management skills, clear written communication, analytical capabilities, business curiosity, a bias for action, genuine AI fluency, and comfort with global complexity. | — | 5 |
| Visual Development Artist - Ink Visual Development Artist for Netflix's Inkubator team, focusing on developing animated shorts and specials using experimental GenAI-native production pipelines. This role involves designing and painting characters, environments, and set layouts, while also exploring, building, and supporting hybrid workflows that integrate generative AI with traditional methods to achieve creative excellence. The artist will drive look development, pioneer new approaches to blend generative imagery, and build necessary workflows, templates, and scripts. | Data | 5 |
| 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 |
| Software Engineer 5 - Partner Test Tech Software Engineer 5 role focused on improving the quality and efficiency of testing software releases for smart TVs and set-top devices at Netflix. The role involves building and maintaining device automation and infrastructure, driving testing strategies, improving developer experience, and leveraging data-driven approaches. While the role mentions using AI for improvements and leading AI initiatives, its core function is in software engineering for testing and device automation, not directly building AI models or systems. | — | 5 |
| Software Engineer in Test 5 - Apple Player Software Engineer in Test 5 role at Netflix focused on ensuring the quality of the Netflix Player on Apple devices (iPhone, iPad, Apple TV). The role involves building automation tools and frameworks, applying AI tooling in a testing context to generate tests, triage failures, analyze flakiness, and close coverage gaps. It requires strong software engineering skills in Swift and Objective-C, experience with consumer-facing iOS/iPadOS/tvOS applications, and a systems-thinking approach to complex streaming playback issues. | — | 5 |
| Senior Product Designer, Partnerships Senior Product Designer role focused on leading design for Netflix's Partner Enablement Platform, which includes developer tools, platforms, and services for global partners. The role involves shaping technical workflows, APIs, and SDKs, and requires experience in highly technical environments and designing complex systems. While the role mentions leveraging AI and AI-augmented workflows, its core function is product design for a partner enablement platform, not direct AI/ML model development or research. | — | 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 |
| Pipeline Developer, Creative Technology - InterPositive Netflix is seeking a Pipeline Developer for its Creative Technology team, focusing on integrating machine learning inference paths into their filmmaking production pipeline. The role involves maintaining and evolving the pipeline, designing integration layers between production tools (Nuke, ShotGrid) and ML systems, and supporting ML-driven workflows. This position is crucial for building an AI-native production pipeline and requires strong Python skills, VFX pipeline experience, and familiarity with agentic coding workflows. | ServeAgent | 5 |
| Manager, Change Management & Technology Enablement - Finance PMO Manager role focused on change management and technology enablement for Finance transformation programs, with a specific emphasis on leading GenAI adoption initiatives within the FinOps organization. The role involves defining change management frameworks, leading adoption strategies for AI tools, developing upskilling programs, and ensuring responsible AI adoption. This is a hybrid position based in Los Angeles or Los Gatos. | — | 5 |
| Integration Support Engineer 5 - Ads Aggregation This role focuses on supporting and streamlining integrations with external partners for Netflix's ad-supported tier. The engineer will act as a technical liaison, providing hands-on support, managing incidents, and contributing to integration-specific code changes. While the role is not directly building AI models, it emphasizes leveraging AI tools to enhance support and integration processes. | — | 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 |
| Technology Experience Domain Specialist This role focuses on the adoption and support of GenAI tools within an enterprise setting, acting as a subject matter expert for IT support and identity management. The specialist will curate Help Center content, analyze support data, and collaborate with various teams to improve user experience with technology, including GenAI productivity tools. While not directly building AI models, the role heavily involves supporting and optimizing the use of AI tools for the enterprise workforce. | — | 5 |
| Product Manager, Messaging Enablement Platform Product Manager for Netflix's Messaging Enablement Platform (MEP), focusing on tools, workflows, and platform capabilities for internal teams to create, manage, and optimize member messages across various channels. The role involves defining strategy, roadmap, and collaborating with engineering, design, and data science to build a scalable and flexible platform. Requires strong technical acumen, stakeholder management, and experience with internal enablement platforms. The role actively leverages AI tools for prototyping and workflow acceleration. | — | 5 |
| Software Engineer 5 - Payments Experience Automation Infrastructure Software Engineer 5 role focused on building an AI-first, autonomous quality platform for global payment and checkout experiences at Netflix. The role involves defining E2E testing strategies, architecting GenAI tools for automation and failure prediction, generating synthetic test data, and integrating test coverage with system observability. Requires expertise in automation architecture, modern web automation tools, and understanding distributed systems. | Agent | 5 |
| Manager, Creative & Policy - Ads Data & Insights Manager for a Creative & Policy Data Science & Engineering team at Netflix, focusing on ML/AI for creative understanding and policy enforcement in the ad-supported tier. The role involves leading a team of ML Scientists, Analytics Engineers, and Data Scientists, partnering with Product & Engineering, and operating in a 0-1 space. | Data | 5 |
| Distributed Systems Engineer 5 - Decisioning & Optimization Netflix is seeking a Distributed Systems Engineer to build and scale the core infrastructure for their ad tech ecosystem, focusing on real-time ad decisioning, ML model serving, and optimization systems. The role involves working across the stack from model serving to auction execution and pacing, shipping production systems that directly impact revenue and advertiser outcomes. | ServeAgent | 5 |
| Senior Supplier Operations Specialist This role focuses on optimizing supplier operations and workflows within Netflix, with a key emphasis on leveraging AI technologies and intelligent agents to drive efficiency and improve processes. The specialist will be responsible for designing and implementing AI-driven improvements, managing supplier risk, ensuring compliance, and collaborating with engineering teams. While AI tools are mentioned as a means to achieve operational excellence, the core function is not the direct development or research of AI models, but rather the application of AI to existing business processes. | — | 5 |
| Full-Stack Engineer 5 - Decisioning & Optimization Full-stack engineer to build internal tools and dashboards for ad decisioning stack, focusing on observability, debugging, and monitoring of ML model serving, auction mechanics, and campaign delivery. | — | 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 |