Job Description

Summary  

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning. As Senior Machine Learning Engineer , you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems. You will be a key player in evolving how our games are built and experienced.  

Core Responsibilities  

• Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and gameplay. Educate the team on what is possible with ML.  


• Design and deploy LLM techniques and develop models to drive in-game systems such as procedural content, adaptive NPC behavior, and player customization.  


• Develop and maintain a local model and MCPs that can be trained on our code and game data to enable workflow acceleration.  


• Build pipelines that train on gameplay data and deploy models optimized for real-time inference.  


• Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors and dynamic environments.  


• 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.  


• Mentor junior engineers and promote best practices in integrating ML within the game engine.  

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 as PyTorch or TensorFlow.  


• Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind.  


• Understanding of supervised and unsupervised learning, reinforcement learning, and generative models.  


• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.  

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.  


• Background in LLM integration for real-time interactive narrative or dialogue systems.  

Description  

• Full-time job with benefits.  


• Role is on-site in Santa Monica, CA.  


• Office is located near 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.  

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