Jobs at Netflix

Build and maintain low-latency, highly available distributed data systems and services to deliver high-quality data for product, analytics, and ML. Partner with data scientists and product teams to design scalable, observable, multi-tenant data products using batch and real-time processing frameworks. Ensure 24x7 reliability, monitoring, and operational excellence while owning end-to-end delivery.

Build and own internal data visualization web applications for content reporting. Partner with product, data scientists, and R&D to integrate multiple data sources, design intuitive charts, iterate on UX based on feedback, and surface metrics and predictive analytics for business stakeholders.

Design, productionize, and deploy machine learning forecasting models for ad inventory and campaign performance in low-latency, real-time advertising environments. Build scalable simulation, budgeting, and pacing systems; collaborate with cross-functional teams to deploy models at scale and optimize ad monetization.

Lead research and experimentation to measure ad campaign performance and effectiveness. Design evaluation frameworks, build measurement solutions, develop models for lift, conversion, and attribution, run experiments and analyses, partner with product/engineering/design/sales, present insights, mentor teammates, and foster technical community and culture.

Build scalable, privacy-focused data frameworks and ETL pipelines using big-data technologies (Spark, Presto, Flink, Kafka, Hive). Ensure appropriate handling of personal data, support privacy and legal needs, partner cross-functionally, and lead system design while mentoring teammates.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Lead quality strategy and testing for the iOS Games SDK. Design and implement automated tests, build supporting tools and infrastructure, debug SDK issues, perform manual testing for hard-to-automate features, create test games and samples, and analyze operational data to improve test stability and developer experience.

Lead and grow a senior machine learning and causal inference research team; define long-term research strategy; balance foundational and applied projects; partner cross-functionally to translate research into product impact; build external academic collaborations, publications, and a high-performing research program.

Lead strategy and roadmap for Netflix's games social platform, partnering with engineering, studios, research, Trust & Safety, and business development to design, build, and scale social gaming features that connect members and partners while managing risk and measurement.

Design, build, and operate highly available, scalable distributed systems and data pipelines for Netflixs global CDN (Open Connect). Responsibilities include service design for real-time and prepositioned control planes, operational tooling, large-scale data analysis, optimization, and improving Quality-of-Experience for streaming members.

Lead content design for acquisition across Mobile, Web, and TV: write persuasive, on‑brand copy, develop scalable language systems, collaborate with product/design/engineering/research, and design/run experiments from ideation through execution.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.

Lead content design for Netflix Live experiences (sports and events). Create content strategy, craft microcopy and voice, design experiments, partner with designers and product managers, use data and consumer insights to iterate, and evolve globalizable language systems and guidelines.

Lead and grow a data science team focused on consumer acquisition, signup flows, login, and partner bundles. Drive analytics, experimentation, causal inference, and machine learning to inform strategy, run A/B tests, scale insights, and deliver measurable business impact across cross-functional partners.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Lead coordination of complex technical aspects of multiplayer game development, manage external partners and outsourcing, oversee technical pipelines and tool building, mentor engineers, identify and mitigate technical risks, and drive advanced multiplayer feature production while collaborating with cross-functional senior teams to align on project vision and delivery.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Design, develop, and scale software systems for machine learning algorithms powering personalization. Collaborate with researchers and product teams to implement production-ready, distributed solutions, enable offline experiments and A/B tests, and improve engineering practices and systems across teams.

Lead technical artist for small R&D games team focused on performance and optimization across CPU/GPU/memory. Profile and resolve rendering, shader, animation, and pipeline bottlenecks; prototype visuals and game tech; build art pipelines, tools, and optimized assets; produce textures, models, shaders, and effects; mentor cross-discipline teams and enable shipping on constrained or emerging platforms.

Lead a team of senior data scientists and analytics/experimentation engineers to partner with engineering, scale insights, innovate metrics and experimentation, and apply statistics and analytics to improve Netflix streaming product and member experience.