Machine Learning Engineer at Epic Games
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

11 Sep, 25

Salary

0.0

Posted On

11 Jun, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we’ve been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic’s award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Responsibilities

WHAT YOU’LL DO

You will work with our team of applied research engineers at the intersection of computer vision, natural language processing and machine learning to create state-of-the-art tools to support game developers in our ecosystem, as well as automation of a number key areas, including localization, moderation, and testing. You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem, with various applications (e.g. content generation, development assistants, etc.).

IN THIS ROLE, YOU WILL

  • Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms
  • 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
Loading...