Headquarters: Los Gatos, CA, US
Industry: Revolutionizing the way people watch TV shows and movies!
5001-10000 employees
Design, build, and operate observability, evaluation, and tooling subsystems to support next-generation AI/ML architectures. Drive cost optimization and reliability improvements across the AIMS AI/ML stack to ensure operational excellence.
You will design and own the content governance strategy, taxonomy, and AI-readiness for Talent's knowledge estate. Additionally, you will partner with subject-matter experts to build scalable, metrics-driven workflows that ensure content is discoverable and accurate.
You will set the technical direction and design coherence across the entire Ads Data Engineering organization to ensure scalable and connected data products. You will also partner with leadership to bridge technical strategy with business priorities while mentoring engineers to foster technical growth.
You will design and operate robust, scalable platform products including frontend widgets and backend services to support global content production workflows. You will also lead cross-functional initiatives, mentor junior engineers, and drive operational excellence through incident response and reliability improvements.
You will be responsible for crafting multimedia experiences that blend motion, audio, and visuals to amplify the Netflix brand across various product surfaces. This involves collaborating with cross-functional teams to prototype high-fidelity concepts and define scalable visual design systems that align with business goals.
The Lead Games Title Product Manager will build and manage cross-portfolio product operating systems to improve execution speed and consistency across gaming verticals. They will also partner with data and finance teams to define KPI frameworks and provide strategic support to priority game teams during launches and major updates.
You will own and manage a portfolio of enterprise products, leading product strategy and roadmaps to improve employee productivity and support experiences. You will collaborate cross-functionally with engineering, design, and operational teams to deliver scalable, secure, and intuitive solutions.
Design and execute rigorous machine learning experiments to improve promotional content and title discovery. Lead end-to-end development of ML models while collaborating with cross-functional teams to integrate solutions into business platforms.
Lead a team of data scientists and analytics engineers to shape measurement and innovation strategies for content distribution. You will own end-to-end outcomes for insights and partner with cross-functional teams to drive business impact through data-informed decision-making.
The role involves owning the analytic data layer and building self-service data products to monitor cloud gaming infrastructure performance and capacity. You will partner with engineering teams to turn telemetry into actionable insights and drive resource prioritization.
You will design, build, and operate robust, scalable distributed systems to support Netflix's global content production and enterprise workflows. Additionally, you will mentor other engineers, lead incident reviews, and drive technical strategy across cross-functional teams.
Develop and maintain highly scalable, cloud-based media encoding pipelines to support workflow orchestration and metadata management. Collaborate with cross-functional teams to elevate system infrastructure for diverse media formats including streaming, ads, and broadcast.
Build state-of-the-art UI features for the Netflix TV application while optimizing performance on memory-constrained devices. Collaborate with cross-functional partners to scope projects and validate user experiences through A/B testing.
The role involves owning the end-to-end strategy for acquiring, deploying, and retiring global hardware infrastructure assets. You will translate complex demand signals into actionable fleet plans while partnering with engineering, finance, and supply chain teams to optimize performance and costs.
The Visual Design Lead will build immersive design systems for live events and direct creative vision from initial sketch to final output. This role involves leveraging emerging technologies and AI to enhance visual quality while ensuring technical excellence across multiple production streams.
Lead a team of distributed systems engineers to develop a high-throughput, low-latency platform for personalized content assets. Collaborate with cross-functional teams including machine learning, product management, and design to drive innovation and business impact.
Design and develop analytic tools and systems to monitor the performance and accountability of machine learning algorithms across promotional media and marketing workflows. Partner with cross-functional teams including ML engineers and data scientists to translate creative requirements into measurable objectives and automated data solutions.
Design and build scalable infrastructure for machine learning model training, fine-tuning, and evaluation workflows. Optimize distributed training systems for performance, cost-effectiveness, and ease of use for ML practitioners.
Lead and grow a team of AI research scientists and engineers to develop and optimize homepage construction and title ranking algorithms. Drive the technical vision and roadmap while partnering with product management to translate member experience goals into scalable machine learning solutions.
The Solutions Support Engineer will monitor and resolve customer requests while developing automation tools and runbooks to improve support efficiency. They will also act as a bridge between the developer community and the Productivity Engineering team to advocate for product improvements and usability.
The engineer will build and deploy advanced machine learning models for ad targeting, identity resolution, and contextual signals. They will collaborate with cross-functional teams to productionize these models at scale within a high-performance advertising ecosystem.
You will serve as the Group Tech Lead for the Application Networking organization, setting multi-year product and technical strategy across various business verticals. You will architect and operate the communication backbone that connects services, devices, and partners at global scale.
The Product Manager will lead AI-driven strategic initiatives to transform localization tools and content operations. They will collaborate with cross-functional teams to integrate machine learning models and build scalable, user-centric products.
You will set the strategic direction for the internal Experimentation Platform and lead the consolidation of bespoke experimentation practices into a unified, modern system. This role involves collaborating with cross-functional partners to define standards for causal inference and driving the adoption of best practices across the organization.
You will build and maintain the infrastructure that supports Netflix's large-scale machine learning and AI systems. This involves working closely with modeling teams on model-system codesign to optimize training, inference, and serving platforms.
The engineer will debug complex issues across Python applications and platform integrations while building tooling to improve developer workflows. They will partner with platform teams to turn recurring technical pain points into scalable, high-quality platform capabilities.
The Director of Operations will architect and oversee workflows to scale new content experiences, serving as a bridge between Content, Engineering, and Product teams. They will lead a multidisciplinary team to ensure flawless global launches while driving strategic alignment and operational excellence.
The scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and LLM-based evaluators. They will lead end-to-end ML development and partner with cross-functional teams to integrate these models into business applications.
Design, build, and maintain scalable Android features and infrastructure that support Netflix's global member experience. Partner with cross-functional teams to scope projects, weigh technical trade-offs, and modernize the existing codebase.
Collaborate with product and engineering teams to build performant, accessible consumer-facing experiences using Swift and GraphQL. Develop maintainable, scalable code while partnering with product management and design to refine UI specifications and architectural trade-offs.
Lead the development of unified, AI-native data developer and analytics experiences, including workflow orchestration and practitioner tooling. Partner with engineering and design teams to define product strategy, drive adoption, and ensure platform scalability and reliability.
The manager will lead editorial strategy and day-to-day execution for owned technology channels, including the Tech Blog. They will also manage editorial calendars, review processes, and collaborate with cross-functional teams to amplify product and technology narratives.
Collaborate with product and engineering teams to build performant, accessible iOS experiences using Swift and GraphQL. Develop maintainable, scalable code while partnering with product management and design to refine UI specifications and architectural trade-offs.
The role involves prioritizing the GenAI team's workstreams and driving the adoption of AI tools across the Netflix Games organization. You will manage cross-functional programs, define KPIs, and translate complex technical goals into actionable project plans.
Lead the user understanding charter by leveraging multimodal signals and LLM techniques to build a foundation for ad targeting, ranking, and bidding. Partner with cross-functional teams to define data strategy and implement rigorous evaluation frameworks for production ML systems.
Design and implement machine learning and optimization algorithms to improve ad quality and performance within the ad marketplace. Partner with product teams to define optimization objectives and communicate technical results to stakeholders.
You will be responsible for ideating, building, testing, and deploying robust features for the consumer-facing help center. The role involves collaborating with cross-functional teams and external vendors to deliver scalable, end-to-end solutions while participating in an on-call rotation.
Design, develop, and operate high-leverage managed compute services while driving operational excellence across the infrastructure. Collaborate with cross-functional teams to build scalable, reliable, and efficient cloud-based solutions that meet business needs.
You will design performance-focused UI architectures for the Netflix TV platform to support hundreds of millions of users. You will also collaborate with cross-functional teams to enable new technology integrations and improve the developer experience for over 70 engineers.
You will orchestrate live operations by managing complex production schedules, budgets, and technical workflows for premium live broadcasts. Additionally, you will lead on-site graphics integration and act as the primary operational liaison between creative teams, tech partners, and external vendors.
You will design, build, and operate robust, scalable distributed systems to support Netflix's global content production workflows. Additionally, you will mentor other engineers, drive technical strategy, and participate in on-call rotations to ensure operational excellence.
Build state-of-the-art UI features for the Netflix TV application while optimizing for performance and memory-constrained devices. Collaborate with cross-functional teams to scope projects and validate user experiences through A/B testing.
Design, build, and maintain scalable Android features and infrastructure that support Netflix's global member experience. Partner with cross-functional teams to scope projects, weigh technical trade-offs, and deliver high-quality, testable code.
You will build and maintain data pipelines, metrics, and dashboards to turn raw security data into actionable insights for leadership and product teams. Additionally, you will drive the analytics strategy for consumer risk, including device trust and authentication patterns, to quantify and prioritize security risks.
The Senior Researcher will lead and execute high-impact quantitative and qualitative research initiatives to guide the development of Netflix's advertising products. They will partner with cross-functional teams to translate user insights into actionable business recommendations and strategic product improvements.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various Netflix channels. Additionally, you will build and automate data pipelines and dashboards to provide actionable insights for cross-functional partners.
You will own the end-to-end integration architecture between Workday and the Talent ecosystem, defining standards for data contracts and system reliability. You will also lead the design, implementation, and observability of these integrations while managing vendor delivery and technical performance.
Define and execute the long-term technical strategy for Platform Systems, focusing on reliability, scalability, and AI stack modernization. Lead and scale a high-performing engineering team while setting standards for observability, reliability, and developer productivity across the organization.
Design, implement, and operate high-impact machine learning models to drive member growth and monetization. Collaborate with cross-functional teams to translate business intuition into scalable, production-ready data-driven solutions.
Lead and grow a high-performing team of Machine Learning Scientists, Data Scientists, and Analytics Engineers to optimize ad bidding and pacing strategies. Act as a strategic partner across product and engineering teams to define and execute the technical roadmap for Netflix's ad-supported tier.
Data Engineers at Netflix build and maintain systems to process data efficiently while modeling it to power analytics and machine learning models. They collaborate with business, engineering, and data science teams to curate data across various domains and enable a culture of learning.
You will build and maintain workflows for tagging content and managing the global entertainment catalog to enhance member discovery. Additionally, you will design and launch immersive experiences while collaborating cross-functionally to deploy features end-to-end.
Design and implement foundational security primitives for Netflix's content delivery network and streaming protocols. Collaborate with cross-functional teams to optimize cryptographic layers and develop host-side resilience against traffic-based threats.
You will define and own core metrics for infrastructure cost, usage, and efficiency while pioneering frameworks to measure the productivity impact of AI tooling. Additionally, you will build dashboards and narratives to communicate efficiency insights to stakeholders ranging from engineers to senior executives.
Apply advanced machine learning and modeling techniques to solve complex business problems related to ad-tier identity and audience targeting. Collaborate with cross-functional teams to deliver scalable data solutions and provide strategic insights that influence product direction.
The Systems Designer will maintain and evolve the Hawkins Core design system to ensure scalability and consistency across Netflix's product domains. They will collaborate with engineering and product teams to codify visual standards, integrate AI-driven workflows, and govern design patterns.
Drive early-stage, high-ambiguity programs for generative AI product experiences and new interaction modalities from concept to production. Coordinate across engineering, applied science, and external partners to set milestones, manage dependencies, and ensure successful delivery.
The role involves leading the technical roadmap for reward modeling, utility estimation, and multi-objective optimization within the Member Systems team. You will drive cross-functional partnerships and design rigorous experiments to validate the impact of AI systems on business and member-experience metrics.
You will design, develop, and deliver scalable software solutions to support global finance and tax operations. You will also collaborate with cross-functional business stakeholders to identify requirements and ensure end-to-end project success.
The Support Solutions Engineer will monitor and resolve customer requests while automating support processes and developing documentation. They will also partner with engineering teams to improve product usability and advocate for customer needs.
Define and evolve the security architecture for the edge and gaming compute stack, ranging from hardware interfaces to operating systems. Implement security enhancements and drive platform integrity through measured boot, improved access controls, and automated vulnerability research.
You will build and operate robust, scalable platform products and messaging infrastructure to support global content creation workflows. You will also mentor junior engineers and drive technical alignment across cross-functional teams to ensure operational excellence.
You will build and prototype supervised machine learning models to predict campaign delivery outcomes, replacing existing simulation engines. Additionally, you will partner with ML engineers to deploy these models at scale while ensuring they are interpretable for sales and media-planning stakeholders.
The Research Engineer will research, develop, and iterate on LLM prototypes and evaluation systems to improve member understanding. They will drive their own roadmap and collaborate with cross-functional teams to influence product strategy and decision-making.
The role involves troubleshooting and resolving engineering support requests while developing automation tools to improve developer productivity. You will partner with engineering teams to advocate for customer needs and maintain high-quality technical documentation.
The Senior Design Program Manager will optimize Enterprise XD operations and workflows to ensure high-quality design delivery at scale. They will drive complex creative pipelines, manage strategic roadmaps, and foster cross-functional collaboration across design, product, and engineering teams.
You will lead the Agent Platform team to define the technical strategy, roadmap, and execution environment for agentic systems at Netflix. This involves making critical build-versus-partner decisions and fostering a high-performing team to build durable, scalable platform primitives.
You will own the end-to-end developer experience for ML practitioners by designing and operating large-scale build, test, and CI/CD infrastructure. You will partner with researchers to identify workflow friction and implement tooling that improves engineering velocity and operational efficiency.
You will provide hands-on technical leadership for systems that define, govern, and evaluate advertising policies across the Netflix ecosystem. You will shape long-term architecture and lead complex, cross-functional initiatives while remaining hands-on with code and design.
You will build and ship full-stack features for infrastructure cost and usage tooling, including interactive web applications and backend services. You will also partner with data and analytics engineers to design data models and launch products for analyzing AI productivity and cloud efficiency.
You will lead end-to-end product analytics for new content experiences, partnering with cross-functional teams to inform product, design, and engineering strategies. Additionally, you will be responsible for developing analysis tools, ensuring data quality, and shaping the overall data strategy and decision frameworks.
You will contribute to core backend systems including API platforms, messaging, personalization, and payment infrastructure. You will be responsible for the full development lifecycle, from identifying requirements to launching scalable, highly-available distributed systems in production.
You will design measurement frameworks and marketplace tools to balance competing demands on Netflix's discovery surfaces. Additionally, you will partner with product and engineering teams to define metrics and drive research from concept to implementation.
Design and maintain scalable data models to serve as the source of truth for the Consumer Product team. Partner with cross-functional stakeholders to translate complex business requirements into high-impact technical data solutions.
Lead and grow a team of AI research scientists and engineers to develop and optimize page construction or title ranking models. Partner with cross-functional teams to set technical vision, drive infrastructure decisions, and ensure a coherent personalization experience for members.
The Technology Sourcing Manager will drive the centralization of software spend and manage vendor relationships to optimize technology investments. They will lead complex software deal negotiations and foster cross-functional partnerships with teams like Finance, Legal, and Infosec.
The role involves owning the technical architecture and long-term system design for the Talent Tech Engineering domain while driving the integration of GenAI into enterprise applications. You will lead cross-functional technical efforts, set architectural standards, and mentor team members to ensure high-quality, scalable product delivery.
Lead the development of cloud compute capabilities and infrastructure to enable high-quality, frictionless game streaming. Drive near-term roadmaps and execute end-to-end projects to optimize backend technology and developer workflows.
Lead product initiatives to transform the Kids profile ecosystem, focusing on content discovery and interactive play within Netflix Playground. Drive near-term roadmaps and execute end-to-end projects by aligning stakeholders across Content, Games, and Technology organizations.
Lead the strategy and execution of the games social platform, focusing on multiplayer, chat, and sharing experiences. Collaborate with cross-functional teams and game partners to build back-end systems and a trusted environment for members.
Lead a team of Account Managers to execute pre-to-post sale campaigns and partner with Sales Managers to maximize revenue in Germany. Develop efficient workflows and collaborate with cross-functional teams like Ad Ops and Product to scale the advertising business.
Lead the end-to-end strategy for acquiring, deploying, and retiring global hardware infrastructure to ensure optimal capacity. Collaborate with engineering, finance, and supply chain teams to translate demand signals into actionable fleet plans and TCO reductions.
Collaborate with analytics engineers and product managers to build and iterate on core data products and intuitive visualizations. Own the technical codebase, solve complex technical problems, and integrate emerging technologies like Generative AI to enhance product workflows.
Develop long-range infrastructure capacity strategies and forecasts to ensure seamless service and platform scalability. Collaborate with cross-functional teams to translate demand signals into actionable investment and deployment plans.
Lead a team of backend engineers to build and scale resilient consumer authorization platforms for streaming, ads, and games. Provide technical vision and strategy while managing relationships across product, data science, and security partners.
Own the product strategy and execution for a portfolio of first-party and third-party talent technology systems. Partner with engineering and design to build scalable, AI-driven experiences that support the full employee lifecycle.
Lead the User Data & Consent subdomain by managing engineering managers and senior ICs to ensure reliable and compliant data collection and storage. Develop a multi-year technical vision for managing first-party user data and consent at scale while mitigating compliance risks.
Serve as the centralized authority for scaling language standards by translating brand guidelines into machine-readable rules for human writers and AI agents. Own the taxonomy, terminology schemas, and structural encoding of language specifications within the design system.
Architect and operate Tier-0 services for Netflix's commercial source of truth, managing global product catalogs and subscription transactions. Tackle complex distributed systems challenges including race conditions and throughput optimization to support global revenue.
Lead the Context Enablement pod to build the infrastructure and knowledge layer that grounds coding agents in Netflix's engineering patterns. Define the technical strategy for agent plugins, Dev Profiles, and the Netflix Engineering Context Provider (NECP).
Lead the strategy, architecture, and engineering team for Netflix's cloud gaming infrastructure, including the Game OS and transport layers. Drive technical and economic innovation to deliver low-latency gameplay at scale while managing significant hardware investments.
Develop and maintain developer platforms and Continuous Delivery systems to streamline software and infrastructure rollouts across the Netflix fleet. Focus on reducing deployment friction, increasing reliability, and unifying the delivery experience.
Lead the technical vision and strategy for off-platform and evidence personalization, focusing on GenAI-powered messaging and asset creation. Drive cross-functional partnerships to design and ship scalable production ML systems that increase member engagement and revenue.
The role involves translating ambiguous needs into clear experience visions and scalable design systems for new content experiences like livestreams and podcasts. The designer will partner with cross-functional leaders to shape product strategy and advocate for global members.
Define strategies and principles for visual and contextual cues to guide member decision-making on Netflix platforms. Bridge the gap between research, creative production, and product design to establish quality standards for assets and evidence.
Lead the creative vision for a key portfolio vertical within Netflix Games from initial concept through live operations. Collaborate with teams to develop prototypes and scale creative efforts into full production while maintaining high craft excellence.
Design and develop innovative ML solutions to enhance promotional writing and content discovery for Netflix members. Lead end-to-end development from research and model training to integration into business platforms.
Lead the development and maintenance of the Design Platform and component libraries to accelerate product design workflows. Collaborate with cross-functional partners to drive the adoption of the Design System and implement AI-driven productivity tools.
Design and build scalable, reliable, and cost-efficient distributed systems for the Open Connect Control Plane to optimize global content delivery. Develop high-scale services, data pipelines, and operational tools to ensure high quality-of-experience for Netflix members.
Lead and grow the team responsible for Netflix's source control, artifact, and CI infrastructure. Drive the strategy and development of the next-generation CI platform based on GitHub Cloud and Actions.
Implement and refine gameplay systems across a diverse portfolio of game prototypes using Unreal Engine 5. Partner with designers to translate vision into playable mechanics while ensuring code is reliable and maintainable.
Design and build scalable, highly available distributed infrastructure for Netflix's data platform, focusing on storage and movement. Collaborate across teams to develop shared primitives for fleet management, security, and reliability to optimize data services at scale.
Lead and grow a team of software engineers focused on network observability, DNS control planes, and network interface software. Partner cross-functionally to build scalable, secure, and performant networking solutions that support Netflix's global cloud growth.
Own the end-to-end design, configuration, and deployment of Workday solutions to support talent and people decisions. Partner with cross-functional stakeholders to translate business needs into scalable system designs and maintain configuration standards.
Lead the technical direction and architecture of a high-throughput, low-latency ad-serving platform. Focus on optimizing core execution paths, managing tail latencies, and building modular components for ranking, scoring, and auction mechanics.
Lead the development and execution of the programmatic sales strategy for Netflix in the Switzerland market. Drive revenue growth by building strategic partnerships with major agency holding groups and C-level client contacts.
Lead the development and execution of the programmatic sales strategy for Netflix in the Austrian market. Build and maintain strategic relationships with major agency holding groups to drive revenue growth and secure ad partnerships.
Provide creative guidance and actionable feedback across design, art, audio, and narrative teams to ensure high-quality game development. Align creative priorities and ensure the correct representation of Netflix and external IP within game adaptations.
Drive the strategic roadmap for privacy and data protection products to ensure responsible data use at scale. Partner with engineering, legal, and business teams to build tools for data governance, consent management, and privacy-enhancing technologies.
Design and implement the user interface layer for Netflix's AI Platform to accelerate model creation, evaluation, and deployment. Collaborate with researchers and data scientists to build scalable ML infrastructure and gather requirements for various ML use cases.
Define and drive the ML technical roadmap for Live Ads, focusing on forecasting, targeting, and yield optimization. Collaborate across teams to architect and deploy large-scale ML solutions that improve ad quality and performance.
Define and drive the product strategy and roadmap for core discovery to help members easily find and engage with content. Collaborate with engineering, data science, and design to build scalable solutions across TV, mobile, tablet, and web platforms.
Design and run experiments, build prototypes, and contribute to projects involving agentic AI, LLM evaluations, and multimodal data. Translate novel research ideas into measurable improvements for Netflix member experiences.
Drive large-scale, cross-functional programs for the Hawkins design system across TV, mobile, and web platforms. Coordinate between design, client, and server engineering to ensure consistent UI delivery and platform adoption.
Lead high-impact, cross-functional programs across Cloud Infrastructure and AI Platforms to improve reliability, scalability, and efficiency. Shape multi-year strategies and drive the execution of platform modernization and feature rollouts for internal customers.
Lead end-to-end quantitative research studies to understand consumer perceptions, value, and willingness to pay for commerce products. Synthesize data from multiple sources to provide strategic insights that inform global growth and business decisions.
Design metrics and develop reporting for internal and external advertiser measurement products. Analyze data to provide actionable insights and recommendations to improve the effectiveness of the ad platform.
Drive the product strategy and evolution of discovery experiences for emerging content types like podcasts and live streaming. Act as the connective tissue between Product, Tech, Content, and Production to ensure a unified platform experience.
Design and develop machine learning models to enhance content metadata and improve the discovery experience for members. Collaborate with cross-functional teams to operationalize AI solutions and shape the strategy for content merchandising.
Create high-fidelity visual and product designs across TV, mobile, and web surfaces to enhance Netflix's brand and user experience. Collaborate with multidisciplinary teams to build immersive, story-driven interfaces and scalable design systems.
Lead the Member Innovation Data Engineering team in partnership with Data Scientists and Product Managers to support product innovation. Responsibilities include guiding projects from ideation to production, recruiting top talent, and coaching employees through regular feedback.
Design, build, and operate the access experience layer and integration services for Netflix's core access control infrastructure. Develop APIs, SDKs, and self-service workflows to enable internal teams to implement secure access consistently.
The role involves designing and maintaining core metrics and semantic models to power content finance planning and executive reporting. You will act as a strategic partner to finance stakeholders to deliver end-to-end data products that drive investment decisions.
Design and implement a self-serve user interface layer for Netflix's Machine Learning Platform to accelerate model creation and deployment. Collaborate with researchers and data scientists to evolve Metaflow and improve personalization model development.
Design and operate the Agent SDK and MCP Gateway to enable Netflix engineers to build and deploy production-grade AI agents. Establish evaluation frameworks, tracing, and quality signals to ensure the reliability and performance of non-deterministic AI systems.
Build and iterate on supervised machine learning models to predict ad campaign delivery outcomes, replacing a simulation-based engine. Partner with ML engineers to deploy these models at scale and collaborate with cross-functional teams to drive adoption of ML-driven forecasts.
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
Lead the technical vision for AI/ML to automate sales workflows and deploy AI-augmented selling tools. Partner with product and engineering teams to build production models that increase sales productivity and revenue.
Design and build internal products and integrations to improve employee productivity and experience. Lead the implementation of GenAI and LLM-powered features to solve concrete enterprise problems.
Lead high-impact programs to modernize and scale Netflix's Cloud Infrastructure and AI Platform. Partner with engineering teams to decompose complex problems into execution plans and drive the adoption of scalable platform services.
Design and scale machine learning solutions to enhance personalization and member experiences at Netflix. Collaborate with cross-functional teams to move algorithms from concept to production in large-scale real-time systems.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Collaborate with cross-functional teams to eliminate systemic failures and translate technical data into business risk for executives.
Design and implement strategic cloud security boundaries and scalable solutions for account and identity management across AWS and GCP. Collaborate with engineering teams to enable new business verticals and develop internal tooling to reduce operational risk.
Architect and build AI infrastructure and agentic workflows to transform software development and operational processes. This includes creating a centralized context layer and automating the full development lifecycle from code generation to incident triage.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement and optimization. Build high-volume, low-latency services for ingesting consented user engagement events in near-real-time.
Design and implement ML-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to align auction mechanisms and pricing with business goals and revenue objectives.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Focus on implementing AI-driven operations, resilience governance, and cross-functional partnerships to eliminate systemic failures.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement, optimization, and reporting. Build high-volume, low-latency services to ingest consented user engagement events in near-real-time.
Rebuild the account data model and build an enrichment layer to manage advertiser and agency structures. Develop automated attribution engines and identity verification systems to scale the Netflix Ads platform.
Design and promote internal Python libraries to improve the development experience and foundational capabilities for Netflix engineers. Optimize the tech stack for scalability and performance while collaborating cross-functionally to provide a comprehensive software development lifecycle.
Lead the Member Ad Experience team to optimize ad delivery policies and quantify their impact on member experience using causal inference and predictive models. Hire and grow a high-performing team of ML scientists and data scientists while collaborating with product and engineering partners to drive business growth.
Build and maintain large, web-scale datasets to improve member experience and support machine learning algorithms. Drive innovation in big data processing by developing data products and frameworks in partnership with algorithm teams.
Lead a team of software engineers to develop and maintain privacy-protective tools and features that meet regulatory requirements. Partner with leadership to execute a consumer-centric approach for data collection, consent, and privacy controls across a complex data ecosystem.
Design and implement machine learning and optimization algorithms to enhance ad quality, performance, and yield within the ad marketplace. Collaborate with product teams to define business objectives and communicate technical results to stakeholders.
Research and develop LLM prototypes and evaluation systems to enhance Netflix's understanding of its members. Collaborate with cross-functional teams to drive a roadmap of scalable data products and member-facing investments.
Drive runtime and memory performance optimization across CPU and GPU for experimental games on constrained platforms. Architect art pipelines and create high-quality technical assets including shaders, models, and effects.
The Technical Director will own all technical aspects of the project, including architecture, system design, and the establishment of scalable engineering practices. They will also lead, mentor, and hire a world-class engineering team while collaborating with studio leads to ensure alignment between creative and technical goals.
Design and build scalable training and inference systems for LLMs, Multimodal LLMs, and other media ML models. Optimize end-to-end training and inference serving to improve scalability, latency, and reliability across global workloads.
The Security Engineer will identify and mitigate risks associated with Generative AI initiatives, focusing on third-party solutions and enterprise search. They will conduct risk-based assessments, develop technical security controls, and provide direct support to internal partners.
You will build and operate robust, scalable, and highly available infrastructure to support content creation workflows at a global scale. The role involves collaborating with cross-functional teams and participating in on-call rotations to ensure operational excellence.
You will design and execute rigorous experimental frameworks while developing predictive algorithms to optimize marketplace mechanics and auction models. Additionally, you will act as a strategic consultant to cross-functional teams to drive business impact and scale the ad platform globally.
You will lead the design and execution of scalable experimental frameworks and marketplace mechanics for the Netflix ads business. Additionally, you will partner with cross-functional teams to drive global expansion and provide strategic insights to optimize ad platform performance.
You will partner with product managers and business teams to design metrics, develop analytic tools, and perform analyses that support content media operations. Additionally, you will drive the direction of your work by creating prototypes, dashboards, and strategic frameworks to influence business decisions.
The Retail Manager will spearhead the consumer products retail footprint across the DACH region by forging strategic relationships with key retailers. They will oversee the execution of retail activations, manage budgets, and ensure product availability across various channels including specialty, fashion, and mass-market retailers.
Submit your information to the talent database to be considered for future artistic roles within the Inkubator team. If there is a match for an upcoming position, a member of the Talent Team will contact you.
You will design and build highly available, low-latency distributed data systems to support machine learning models and product innovation. You will collaborate with data scientists and product managers to ensure high-quality data delivery for commerce and identity flows.
Design and implement machine learning and optimization algorithms to enhance ad quality and performance. Collaborate with product teams to define optimization objectives and communicate technical results to stakeholders.
The Senior ML Engineer will lead the integration of GenAI models into production game engines and development workflows. They will also collaborate with designers to prototype AI-native gameplay mechanics and optimize model performance for real-time game environments.
The manager will source, negotiate, and execute co-development and work-for-hire partnerships to expand the Netflix Games portfolio. They will collaborate with internal stakeholders to identify strategic partners and manage the external development ecosystem.
These roles will lead critical initiatives across Netflix’s Cloud Infrastructure and AI Platform, focusing on adoption, scalability, and modernization through high-impact, cross-functional programs. Responsibilities include driving execution rigor, tracking progress, managing dependencies, and communicating clearly with leadership to ensure infrastructure investments deliver meaningful outcomes.
The role involves owning the Tier 0 network governance layer that dictates how every Netflix workload connects, from placement and addressing through security policy enforcement. Responsibilities also include building, scaling, and mentoring a team of engineers while evolving network observability capabilities using eBPF-based flow capture.
This role involves designing, implementing, and scaling foundational backend services for the Netflix Gaming platform, focusing on identity, authentication, and developer features like cloud saves and leaderboards. The engineer will also mentor junior staff and maintain high operational excellence for the systems built.
The role involves designing, building, and automating core services for the Live Media Asset Management (MAM) platform, focusing on ingest orchestration, metadata normalization, and rights-aware services. Responsibilities include building integration layers between third-party MAM applications and Netflix core services to ensure scalable, observable, and resilient live media workflows.
Engineers will develop and expand compute infrastructure to support growing AI needs, enabling ML application in new business areas and driving innovation across Netflix. This role involves powering business-critical models and taking ML/AI initiatives to the next level through cross-functional partnerships.
The engineer will guide the reliability of the Netflix Ad Suite by ensuring resilient system builds, responding precisely to issues, and evolving culture and technology to prevent future failures. Responsibilities include designing scalable infrastructure, integrating observability, coordinating capacity planning for live streaming, and developing automation tools.
This role involves leading the development of agentic systems, internal sandboxing tools (UIs/APIs), and high-fidelity demos to accelerate learning and adoption of the in-house Member LLM. The leader will provide technical direction while remaining hands-on, bridging model development with downstream application by exposing foundation models for exploration.
The role involves evolving and innovating Netflix's data infrastructure and building scalable, highly available distributed systems. Engineers will collaborate across teams to solve complex challenges and contribute to open source communities.