Senior Machine Learning Engineer
Summary
Senior ML Engineer builds real-time AI systems for games, including LLM-driven NPCs and adaptive environments, using C++/Python and Unreal Engine.
We are seeking a Senior Machine Learning Engineer to help shape the future ofcontent systems andreal-time gameplay usingcutting-edgemachine learningtechniques.As Senior Machine Learning Engineer , youwill work alongside gameplay engineers,producers,designers, and artists to integrate intelligent, adaptive systemsfor our toolchainand intherealtimegame.You willbe a key player in evolving how our games are built and experienced.
Core Responsibilities
- Workwithteamleads todevelopandimplementamachine learning (ML)strategy to maximize the potential to enhance our workflow and gamesystems.Educate the team onwhat is possible with ML.
- Design and deployLLM techniques,includingagenticworkflow and toolchain enhancements.
- Build pipelines thattrain ongameplay data and deploy modelsoptimizedfor real-time inference.Research and implement on-device small language and otherlocal modelsforscalableincorporation of ML features inthelivegame experience.
- Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulationapproximationand dynamicadaptiveenvironments.
- Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization.
- Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine.
- Stay current with ML and real-time AI trends and ensure performance scalability across platforms.
- Mentorother engineers and promote bestpractices inintegrating MLtechniques.
Core Qualifications
- 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments.
- Strong C++ programming experience .
- Proficient in Python and ML libraries such asPyTorchor TensorFlow.
- Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind.
- Understanding ofsupervised and unsupervised learning, reinforcement learning, and generative models.
- Bachelor’s orMaster’s degree in Computer Science, Machine Learning, ora relatedfield.
Plus If
- Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.).
- Experience building or using ML tools in a game development context.
- Knowledge of generative models (e.g.Diffusion, GANs, MCPs) for workflow augmentation.
Description
- Full-time job with benefits.
- Role is on-site in Santa Monica, CA.
- Office islocatednear downtown Santa Monica – near metro and freeways.
The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity.