Netflix

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.