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 |
|---|---|---|
| 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 |
| Analytics Engineer 5 - Legal Netflix is seeking an Analytics Engineer to support the Legal organization, focusing on metrics, analytic tools, and analyses for Legal operations. The role involves partnering with various teams to design metrics, develop analytic tools, build and evaluate models, and perform analyses. A key aspect is rethinking workflows to leverage AI and LLMs to unlock decision-making for Legal teams managing worldwide legal engagements. The role requires expertise in SQL, Python, data visualization, and hands-on experience with AI coding tools. Bonus points for experience building ML models or designing LLM/agentic workflows. | — | 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 |
| Senior Software Engineer 5 - Commerce Experiences Testing Infrastructure Senior Software Engineer to build developer-facing infrastructure and tooling that scales to millions of test runs per month. This role involves designing and operating language-agnostic systems, including distributed execution infrastructure, telemetry, and GenAI-powered developer tooling for fast and trustworthy pre-production feedback. The engineer will focus on empowering Commerce Engineering engineers worldwide to quickly and comprehensively test their software, leveraging experience in automated testing and resilience platforms. | Agent | 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 |
| Manager, Technology Systems & Operations (Animation) Manager for Technology Systems & Operations in the Animation division, focusing on user experience, operational excellence, and leading IT support functions. The role involves managing a team, forecasting needs, and collaborating with cross-region peers to drive global strategy. Emphasis on using data and metrics for decision-making and strategic planning. | — | 0 |
| Post Engineer Netflix Animation Studios is seeking a Junior Post Engineer in Vancouver to provide front-line support for editorial suites, story and review rooms, and screening theatres. The role involves troubleshooting complex specialty spaces, operating control systems, and maintaining color pipelines. Responsibilities include Tier 1 support for various software and hardware, setup and operation for screenings and events, and supporting media systems and workflows. The ideal candidate has 2-3 years of experience in AV, Post Production, Broadcast, or VFX/Animation environments with hands-on experience supporting theaters and edit suites. | — | 0 |
| Technical Trainer - Netflix Animation Studios Netflix Animation Studios is seeking a Technical Trainer to join their global team. This role focuses on designing, organizing, and delivering training programs for industry-standard and proprietary tools used in the animation production pipeline. The trainer will manage curriculum, create content, support subject matter experts, and maintain the Learning Management System, collaborating with various teams to ensure a consistent and high-quality learning experience for artists and production staff. | — | 0 |
| QA Test Lead - Games Netflix is seeking a QA Test Lead for their Games studio in Helsinki. The role involves leading QA efforts for game projects, creating and executing test strategies, bug identification, and collaborating with design, development, and production teams to ensure high-quality gaming experiences. The role also involves working with analytics tools and providing input on product design. | — | 0 |
| Security Software Engineer 5 Netflix is seeking a Security Software Engineer 5 in Poland to build and operate the access experience layer, focusing on authentication, authorization, and cryptographic software services. The role involves designing, implementing, and maintaining access tooling and integration services, including adoption of their next-generation access management platform, Turnstile. This position requires experience in building scalable, reliable services, developer-facing APIs, and familiarity with IAM concepts and protocols. The role is based in Poland and can be performed remotely. | — | 0 |
| Associate Technical Supervisor Associate Technical Supervisor at Netflix Animation Studios responsible for supporting the technical vision of an animated feature film, shaping pipeline tools and workflows, and providing day-to-day technical oversight for troubleshooting, user support, direction, and tool development across various production stages (Front End, Performance, Back End). | — | 0 |
| Software Engineer, Production Systems Full Stack Software Engineer for Netflix Animation Studios, focusing on developing and improving mission-critical systems for animation production workflows. Requires strong Java development experience and skills in building scalable distributed applications. | — | 0 |
| AV Events Engineer Netflix is seeking an experienced AV Events Engineer to manage technical production for live events, including video, audio, lighting, networking, and broadcast systems. The role involves end-to-end technical production ownership, vendor management, equipment maintenance, and troubleshooting. The candidate will also assist with AV research and develop project initiatives, with a genuine curiosity for AI in live events and production. | — | 0 |
| Manager, Member Innovation - Data Engineering Manager for the Member Innovation Data Engineering team at Netflix, focusing on supporting new product innovations by partnering with Data Scientists and Product Managers. The role requires strong people leadership, data and engineering backgrounds, and the ability to guide projects from ideation to production. | — | 0 |
| Associate Technical Supervisor - Front End Associate Technical Supervisor for Netflix Animation Studios, focusing on the technical vision and pipeline tools for the earlier stages of production (Story, Edit, Art, Modelling, Rigging, Surfacing). The role involves troubleshooting, tool development, artist support, and collaboration with technical supervisors and engineering teams to ensure smooth production workflows. | — | 0 |
| Associate Technical Supervisor - Performance Netflix Animation Studios is seeking an Associate Technical Supervisor to support the technical vision and pipeline tools for the Performance Pipeline on animated feature films. This role involves troubleshooting, user support, tool development, and technical oversight for departments like Animation, Edit, and Layout, ensuring smooth production workflows and artist productivity. | — | 0 |
| Engineering Manager, Content Data Foundations Lead a team of software engineers to deliver high-impact results in building and managing distributed, high-performing teams with a focus on inclusion and diversity. The role involves partnering with Product and cross-functional stakeholders to define and execute the vision and strategy for data platforms that power decision-making, automation, and innovation across the content ecosystem. | — | 0 |
| Senior Manager, Engineering - Partner Enablement Applications Senior Engineering Manager to lead and scale the Partner Enablement Apps engineering organization at Netflix. This role involves defining technical strategy, managing multiple teams, mentoring engineers, and ensuring the reliability and scalability of business-to-business applications used by device and operator partners to integrate with Netflix APIs and manage payment experiences. The focus is on web applications, distributed systems, and cloud infrastructure. | — | 0 |
| Software Engineer L5 - Audio/Video Tools and Tests Software Engineer role focused on developing automation tools (HW/SW) for audio/video quality characterization at scale for diverse devices, enabling partner developers and internal engineers to ensure the best Netflix experience. Involves building front-end and backend services, enhancing CI/CD, leveraging data solutions, and developing automated tests for AV capabilities. | — | 0 |
| Technical Program Manager - Hawkins Design System Technical Program Manager to drive large, cross-team programs for Netflix's design system (Hawkins), focusing on planning, execution, and cross-functional alignment across design and engineering. The role involves navigating technical and organizational complexity, coordinating platform adoption, and bringing clarity to ambiguity. Experience with GenAI tools to scale impact is a plus, and familiarity with design-to-code workflows is beneficial. | — | 0 |
| Technical Supervisor Technical Supervisor for Netflix Animation Studios, responsible for the technical vision, pipeline, tools, and workflows of an animated feature film. This role involves leading a team of TDs, managing technical strategy, problem-solving, and collaborating with creative and production leadership. | — | 0 |
| Engineering Manager - Ads Measurement Engineering Manager for Netflix's Ads Measurement team, focusing on building systems to quantify campaign outcomes for advertisers. This role involves leading a team of engineers to develop first-party measurement solutions, experimentation frameworks, causal inference, attribution systems, and scalable data pipelines. The goal is to deliver impactful results for advertisers while respecting the member viewing experience. | — | 0 |
| Technical Program Manager 6 - Games Data Science & Engineering Netflix is seeking a Technical Program Manager 6 for their Games Data Science & Engineering team. This role will drive programs related to data pipelines, telemetry, experimentation, and analytics tools for game development. The TPM will partner with data scientists, data engineers, and platform engineers to ensure data systems are reliable, scalable, and impactful. The role requires technical fluency in data engineering and analytics domains, strong communication skills, and experience managing complex, multi-stakeholder programs. | — | 0 |
| Software Engineer 5 - Foundation Tech & Embedded Graphics Software Engineer 5 on the Foundation Tech team at Netflix, focusing on developing robust, scalable device reference designs for consumer electronics in collaboration with hardware partners. The role involves integrating and optimizing reference solutions, troubleshooting embedded systems, and ensuring high-quality integrations. Requires strong C/C++ and JavaScript skills, with experience in embedded systems and graphics. AI fluency is a plus for improving code quality and data analysis. | — | 0 |
| Senior UI Engineer 4/5 - Client and Partner Technologies Senior UI Engineer role at Netflix focusing on client and partner technologies, specifically within the Payment Enablement and Stakeholder Acceleration (POSA) and Devices Capabilities (DeCap) teams. The role involves driving new technical solutions, revamping web applications, and enhancing user experience for partners and internal stakeholders. Requires strong full-stack and front-end skills, particularly with React. | — | 0 |
| Senior Software Engineer 5 - Client And Partner Technologies Senior Software Engineer role focused on revamping and extending web applications for Netflix's partner technologies, enabling the lifecycle of partner products on devices and through API integrations. The role involves driving new technical solutions, collaborating with product managers and designers, and enhancing existing applications to streamline user experience and meet partner needs. | — | 0 |
| Full Stack Software Engineer 5 - Client and Partner Technologies Netflix is seeking senior full stack engineers to revamp and enhance web applications for partner device enablement and lifecycle management. The role focuses on building end-to-end solutions, improving existing tools, and collaborating with cross-functional teams to deliver scalable and reliable B2B solutions for partner integrations, payments, and UI experiences, with a mention of using Generative AI for operational efficiency. | — | 0 |
| Distributed Systems Engineer 6 - Ad Eventing Netflix is seeking a Distributed Systems Engineer 6 to lead the Ad Eventing team, focusing on building and scaling a high-throughput, low-latency pipeline for ad impression, click, and completion events. This role involves owning technical direction, architecting the end-to-end pipeline, ensuring data accuracy and reliability for billing, reporting, and ML, and driving operational excellence. The position requires significant experience in distributed systems, stream processing, and ad domain knowledge, with a blend of building and influencing. | — | 0 |
| Senior Manager, Live Technical Operations - APAC Senior Manager for Live Technical Operations in APAC, responsible for planning and executing live TV streaming technical operations for Netflix. This role involves collaboration with various engineering and production teams, managing transmission planning, vendor partnerships, troubleshooting, and ensuring technical quality for live events across multiple countries. | — | 0 |