Senior Machine Learning Engineer

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 techniques. As Senior Machine Learning Engineer , you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. 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 game systems. Educate the team on what is possible with ML.
• Design and deploy LLM techniques, including agentic workflow and toolchain enhancements.
• Build pipelines that train on gameplay data and deploy models optimized for real-time inference. Research and implement on-device small language and other local models for scalable incorporation of ML features in the live game experience.
• Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive 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 other engineers and promote best practices in integrating ML techniques. 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. 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.