Machine Learning Engineer

Summary

We are seeking a Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning. As Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems into our workflow and the run-time 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 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.

Core Qualifications

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Description

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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