Senior Machine Learning Engineer

<div class="content-intro"><h2>WHAT MAKES US EPIC?</h2> <p>At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.</p> <p>Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.</p></div><h2>ENGINEERING - GAMES</h2> <h3><strong>What We Do</strong></h3> <p>Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.</p> <h3><strong>What You'll Do</strong></h3> <p>You will work with our team of applied research engineers at the intersection of computer vision,  gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.</p> <h3><strong>In this role, you will</strong></h3> <ul> <li>Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environments</li> <li>Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap</li> <li>Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones</li> </ul> <h3><strong>What we're looking for</strong></h3> <ul> <li> <ul> <li>PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience </li> <li>Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-game</li> <li>Expert, hands-on knowledge of: <ul> <li>Deep learning, incl. but not limited to applications in the gaming industry</li> <li>Foundational models and vision and/or language, especially  vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights models</li> <li>Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents</li> <li>Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)</li> </ul> </li> <li>Experience with working collaboratively with other developers, following a flexible/agile/lean approach</li> </ul> </li> </ul&gt