Senior Game Engineer at Netflix focused on integrating Generative AI into gameplay systems to create dynamic and player-responsive experiences. The role involves working with game designers, implementing GenAI features, integrating them into core game systems, developing safety and quality guardrails, and using GenAI for rapid iteration and tool building. Requires strong game engineering experience and applied GenAI skills with LLMs or Diffusion models.

Lead a team building agentic systems, sandboxes, and internal demos to accelerate learning and adoption of LLMs at Netflix, bridging model development and downstream productization.

Manager for Netflix's Member Experience team within Ads Data Science and Engineering. This role focuses on understanding and optimizing the impact of ad delivery policies on member experience using causal inference and predictive models. The team will build models and workflows to drive ad delivery optimization, balancing revenue, member experience, and advertiser outcomes. The role involves leading a team of ML Scientists, Data Scientists, and Analytics Engineers, fostering partnerships, and ensuring high-quality technical outputs.

Machine Learning Scientist at Netflix focused on building and optimizing the ad tech ecosystem. This role involves designing and implementing ML algorithms for ad quality and performance, training and evaluating models on large-scale production data, and developing evaluation frameworks. The goal is to create data-driven solutions for relevant ad experiences and advertiser results, balancing member experience and revenue.

Engineering Manager for Netflix Ads, focusing on core targeting and signals platforms. This role involves leading teams to build and scale systems for audience and contextual targeting, enabling relevant and privacy-forward ad experiences. It requires partnering with ML teams on advanced models, working on high-scale, low-latency services, and shaping signal activation for targeting, optimization, and measurement. The role emphasizes ownership, rapid execution, and building high-performing teams in a fast-paced environment.

Manager role focused on translating GenAI experimentation into production-ready guidance for content production partners at Netflix. This involves consulting on feasibility and value, identifying where GenAI improves quality/efficiency/speed, and grounding the technology in creative and operational constraints. The role will prototype, deliver, optimize workflows, educate teams, and provide feedback to product and innovation teams.

Engineering Manager for Netflix's Trust Services and Enforcement team, focusing on building and scaling fraud mitigation services. This role involves applying Generative AI to enhance detection and counter evolving AI-driven attack vectors, while managing a team and driving cross-functional alignment on security risk posture.

Netflix is seeking a Conversation Designer to improve the support experience for members and customer service agents by designing conversations for their virtual agent. This role involves creating human-AI multi-turn conversations, crafting prompts, building scalable conversation frameworks, and influencing AI strategy. The ideal candidate has hands-on experience designing for generative or agentic AI, understanding LLM capabilities and limitations, and experience with prompt design and human-in-the-loop AI evaluations.

Manager for a Data Science and Engineering team at Netflix, focusing on building automated systems and AI/agentic solutions for content launch and promotion. The role involves leading a multidisciplinary team, shaping strategy, and driving execution of end-to-end AI solutions.

Software Engineer to build enterprise-wide technology and platforms for an AI-native production environment for animated shorts and specials. The role involves evaluating AI developments, packaging workflows, prototyping, and developing tools for artists and technical directors to support scalable GenAI-native production.

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.

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.

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.

Senior Software Engineer responsible for developing and innovating the Design Platform at Netflix, focusing on accelerating the product design lifecycle through AI solutions, leading projects from ideation to implementation, and setting long-term technical strategy.

Netflix is seeking a Security Software Engineer to innovate in agentic identity and build foundational services for GenAI use cases, focusing on identity provisioning, secret management, mTLS, and secure SSH access within their cloud infrastructure.

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.

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.

This role focuses on supporting creative technology systems and operations within Netflix's studios, with a specific emphasis on improving the AI-enhanced technology experience for the creative workforce. The specialist will develop and evolve QA processes for AI-driven agentic support, create self-help resources, and use data to reduce friction in user experiences. While not directly building AI models, the role is deeply involved in the application and operationalization of AI for support and workflow optimization.

Full Stack Software Engineer at Netflix to integrate AI/LLM capabilities into enterprise employee-facing applications. Responsibilities include designing and implementing AI-powered features, building backend services, and collaborating with cross-functional teams to launch UIs that operationalize workflows at scale.

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.

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.