Research Engineer

Epic Games
London
6 days ago
Create job alert

WHAT MAKES US EPIC? 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.

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.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.ENGINEERING - UNREAL ENGINE What We Do

Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide.What You'll Do

The MetaHuman team at Epic Games is looking for a research engineer in the field of neural rendering. The ideal candidate will bring a passion for digital humans and experience in the fields of computer graphics, computer vision, geometry processing, and machine learning. You will develop and apply algorithms in the domain of neural rendering, differentiable rendering, and image-to-image translation to build and render the next generation of digital humans. We have developed one of the world's best face and body 3D and 4D scanners and have the team and toolsets for creating extremely precise datasets. If you are looking to push the state-of-the-art using the best data out there and would like to help us cross the uncanny valley, we'd like to hear from you!In this role, you will

Be part of the MetaHuman R&D team proving out new technologies to raise the bar of real-time digital humans and characters in Unreal EngineWork directly with a team of researchers, artists, and engineers to learn all aspects of the character creation process from scanning and performance capture to animation and renderingHelp identify points of friction in our processes and research new techniques to automate and improve the realism of the art team's workResearch and develop prototypes to prove brand-new approaches for capturing and rendering digital humansStay well-informed on the latest research on neural rendering and digital character technologiesWhat we're looking for

Experience with computer graphics and computer vision techniquesUnderstanding of mathematical optimization and modern machine learning conceptsExperience with neural/differentiable rendering techniques and/or image-to-image translationMSC/Ph.D. in computer science, electrical engineering or equivalentStrong programming skills in Python and C++ and experience with PyTorch or similar machine learning frameworksEPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.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.Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

#J-18808-Ljbffr

Related Jobs

View all jobs

Research Engineer, AI/Machine Learning (Basé à London)

Research Engineer

ML Quantization Research Engineer

Machine Learning Engineer, Video

Senior Software Engineer

Computer Vision Development Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.