Machine Learning Engineer

Job Description

ENGINEERING - GAMES What We Do 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. What You'll Do You will work with our team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models to support users developing games in our creator ecosystem. You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in the Unreal Engine (UE), with applications including learned bots, believable bots, QA bots, etc. In this role, you will • Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms for UE. • Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap. • Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones. What we're looking for • PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience • Experience creating innovative algorithms for problems using Reinforcement Learning and deploying them as production-level systems • Experience with working collaboratively with other developers, following a flexible/agile/lean approach • Expert, hands-on knowledge of: • Reinforcement Learning, ideally applied to gaming • Unreal Engine • Deep learning techniques for supervised, semi-supervised and unsupervised learning • Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Jobcode: Reference SBJ-re73y0-3-16-68-0-42 in your application.