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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| Software Engineer 5 - Live Ads Management Software Engineer 5 role at Netflix focused on building next-generation applications for ad operations, including automated, agentic workflows for ad manifest generation and intelligent ad sourcing for live events. The role involves architecting and scaling systems for real-time ad delivery, partnering cross-functionally, and developing cloud-native services with AI-driven agentic workflows to improve efficiency and ad yield. | Agent | 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 |
| Security Engineer (L5) - Workforce Security Security Engineer specializing in Generative AI (GenAI) Security for workforce-facing initiatives, focusing on third-party solutions like low-code/no-code agents and RAG enterprise search. Responsibilities include identifying and mitigating GenAI threats, evaluating third-party GenAI products, developing hardening guides, performing technical validation (threat modeling, pen testing), prototyping security automation tools, and conducting build-vs-buy evaluations. | Agent | 5 |
| Systems Administrator 4, Engineering Operations This role is for a Systems Administrator focused on optimizing operational efficiency through workflow automation, system streamlining, and API integrations for enterprise applications at Netflix. While the role involves using and understanding generative AI tools and concepts, its core function is not building AI models but rather integrating and managing systems that may leverage AI. | — | 5 |
| Software Engineer L5 - Edge Platform Automation & Validation Software Engineer L5 to own and evolve automated CI/CD and validation infrastructure for Netflix's Open Connect edge appliances, ensuring security, reliability, and performance. The role involves improving failure triage with AI-assisted tooling and leading engineers. | — | 5 |
| Data Scientist 5 - Ads Experimentation This role focuses on designing and executing experimental frameworks for Netflix's ads business, developing predictive algorithms, and optimizing marketplace dynamics. It involves transitioning from manual analysis to scalable, automated solutions and applying advanced causal inference and machine learning techniques to drive business decisions and global expansion. The role is considered AI-related due to the use of ML and causal inference, but the primary output is an experimentation platform and business insights rather than core AI model development. | — | 5 |
| Security Analytics Engineer (L4) This role focuses on building intelligence and data-driven insights to address fraud and enhance consumer product security at Netflix. The engineer will analyze patterns, identify new signals for anomaly detection, and develop data solutions for fraud prevention, leveraging expertise in security and fraud prevention. | Agent | 5 |
| Staff Product Designer, Games Discovery Staff Product Designer for Netflix Games, focusing on discovery experiences across TV, Web, and Mobile. This role involves shaping product strategy, design leadership, and defining discovery frameworks. The designer will collaborate with senior leaders, drive large-scale initiatives, and mentor other designers. Experience with data science and experimentation is valued, and the role involves exploring new tools, including AI. | — | 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 |
| Production Supervisor - Ink This role supervises production for animated shorts and specials using experimental GenAI-native pipelines, managing schedules, tracking, and workflows that blend generative AI with traditional tools. The Production Supervisor ensures projects stay on budget and schedule, supports artists in using new workflows, and collaborates with tech teams to refine processes and tools for feature-quality content creation. | — | 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 |
| Technical Program Manager 5 - Studio Production Engineering Technical Program Manager for Netflix's Studio Production Engineering team, focusing on driving cross-functional programs related to studio infrastructure and Generative AI/ML platforms. The role involves leading programs for foundational studio infrastructure, integrating third-party software, and scoping/leading Generative AI/ML initiatives, including productionizing new AI platform capabilities and accessing LLM APIs. Requires strong collaboration with product, engineering, and data science to execute strategic technology programs. | Agent | 5 |
| Engineering Manager, Data Platform Orchestration Netflix is seeking an Engineering Manager for their Data Platform Orchestration team. This role will lead a team responsible for building and operating a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. The platform includes Maestro, a next-generation workflow orchestration system, and is investing in higher-level abstractions like ETL frameworks and GenAI-powered remediation. The manager will drive vision, strategy, and adoption, build and grow a team of engineers, and ensure the platform's stability, performance, and efficiency. | AgentData | 5 |
| Senior Manager, Content Promotion & Distribution Data Engineering Senior Manager to lead a Data Engineering team focused on building and operating multi-modal data foundations (text, metadata, image, video, audio) for ML and GenAI model development and evaluation within Netflix's Content Promotion & Distribution ecosystem. The role involves managing a heterogeneous team of Data, Software, and ML Engineers, partnering with cross-functional leaders, and providing technical vision for data products supporting analytics, experimentation, and ML at scale. | Data | 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 |
| Technical Program Manager (L6) - Ads Decisioning & Optimization Netflix is seeking a Technical Program Manager with Ads domain experience to drive high-impact cross-functional programs in the Ads space. This role involves leading complex programs, defining technical strategies, managing roadmaps, and ensuring successful delivery of technical solutions, including ads decisioning systems and ML optimization engines. | Agent | 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 |
| Integrations Support Engineer 5 - Ads Data Clean Room Netflix is seeking an Integrations Support Engineer to streamline complex integrations with external partners and platforms for their ad-supported tier. This role involves understanding the Netflix Ads Stack, driving the end-to-end integration lifecycle, providing technical support, and acting as a liaison between partners and internal engineering teams. The role requires strong technical proficiency in ad tech, data clean rooms, Java/Python, SQL, and APIs, as well as excellent communication and problem-solving skills. While the role is not directly building AI models, it emphasizes leveraging AI tools to enhance support and integration processes. | — | 5 |
| Full-Stack Engineer 5 – AI Insights & Visualizations, AI Platform Full-Stack Engineer to build internal tools and platforms for AI/ML practitioners at Netflix, focusing on visualization, monitoring, and operation of AI/ML models and pipelines, including observability, anomaly detection, and cost monitoring. | Eval GateAgent | 5 |
| Security Software Engineer (L4), Detection Engineering Netflix is seeking a Security Software Engineer to mature and expand their detection frameworks, platforms, and portfolio. The role focuses on creating and improving detections to minimize risk by proactively surfacing malicious or anomalous behavior. The engineer will analyze high-risk attack paths, develop compensating detective controls, and use a risk-based prioritization mindset. Experience applying GenAI technologies to automate security operations is a plus. | — | 5 |
| Software Engineer L4/L5 - Data and Feature Infrastructure, Machine Learning Platform Netflix is seeking a Software Engineer to build and scale a next-generation ML data and feature platform. This role will focus on creating infrastructure for defining, computing, storing, and serving ML features and labels, enabling ML practitioners to improve productivity and foster innovation across various domains like personalization, payments, and ads. The platform will support both high-throughput training and low-latency inference use cases, including a centralized feature and embedding store for sharing. | DataServe | 5 |
| Group Product Manager, New Content Exploration Group Product Manager at Netflix responsible for the vision, strategy, and roadmap for how members discover and engage with new content types (games, live streaming, podcasts) on the platform. The role involves leading a team of PMs, partnering with cross-functional teams (Product, Tech, Content), and ensuring the product experience evolves with content strategy. Requires experience with ML-powered consumer experiences and A/B testing. | — | 1 |
| Senior Creative Designer, Creative Publishing Senior Creative Designer for Netflix's gaming division, focusing on creative guidance and feedback throughout game development to ensure high quality and consistent player experience across the portfolio. | — | 0 |