At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines. You won’t just be prompted with ideas; you’ll be building the infrastructure and logic that brings those ideas to players.

Key Responsibilities

Implementation & Integration: Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows.
Feature Prototyping: Work directly with designers to build functional, AI-native gameplay mechanics—such as dynamic narrative systems, procedural asset generation, or intelligent NPC behaviors.
Optimization & Inference: Own the performance side of GenAI. You will optimize model latency and memory footprints to ensure AI features don't compromise game frame rates.
Pipeline Automation: Develop and maintain 'AI superpower' tools for internal teams, such as automated texture generation, level design assistants, or code-completion agents.
Technical Mentorship: Provide guidance to mid-level and junior engineers on ML best practices, data privacy, and the ethical implementation of AI in creative spaces.
Bridge Research & Production: Translate complex AI research papers and open-source models into stable, production-ready code that aligns with our player experience goals.

Qualifications

Game Development Background: 5+ years of experience in the games industry. You have a solid grasp of game loops, memory management, and what it takes to get a feature through a 'Live Ops' cycle.
Practical GenAI/ML Experience: 3+ years of hands-on experience with Machine Learning/GenAI tools/techniques in a product-driven environment.
Software Engineering Excellence: Strong proficiency in languages like C++ and C#, with the ability to write clean, maintainable code within a large, complex codebase.
Infrastructure Familiarity: Experience with model fine-tuning, and managing the end-to-end ML lifecycle (data prep to deployment).
Problem Solver: You thrive in the 'grey area' of emerging tech and can pivot quickly when a specific model or approach doesn't meet the needs of the game design.

Senior ML Engineer, GenAI - Games

Americas

Remote

Senior

Netflix