Machine Learning Intern New

Epic Games, Inc.; City of Westminster; In loco; GBP 17.000 - 22.000; Tempo pieno

Descrizione del lavoro

Epic Games, Inc. invites motivated researchers to join Epic Research internships spanning vision, language, speech processing, and game AI. You will work with scientists and engineers on state-of-the-art ML models, tackling topics from LLM-enabled characters to embodied agents and multi-modal diffusion.

Applicants should be pursuing or recently completed a PhD in CS, Math, AI, with publications. Excellent coding skills in Python and ML frameworks, plus knowledge of Transformers, RL and diffusion

Competenze

• PhD student or recent PhD in CS/AI/Math with publications.
• Experience implementing deep learning algorithms for CV/NLP/ASR problems.
• Hands-on experience with state-of-the-art ML methods.
• Good AI coding and experimental engineering skills.

Conoscenze

Deep learning

Transformers

Reinforcement learning

C++

C#

Formazione

PhD candidate or recent PhD in Computer Science/AI/Math

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

Work with our team of research scientists and engineers at the intersection of vision, language, speech processing, embodied agents, and game development to create state-of-the-art machine learning models in a range of areas - research topics of interest include:

• AI-backed interactive characters: LLMs for conversational characters, memory systems, automated evals, animation, etc.
• Game agents: vision-language-action, game-state agents, etc.
• 3D human and object tracking
• Reinforcement learning for embodied behavior
• Speech systems and conversational agents
• World building and game logic generation: video models, 2D->3D scene building, etc.
• AI-assisted game development, e.g. the next generation of Epic Developer Assistant for UE and UEFN
• Embodied and physical intelligence including human-object interaction
• Multi-modal diffusion models
• Player safety: AI-alignment, content moderation, etc.
• Improved user experience: personalised game recommendation, game representation, spam detection, etc.
• Content localization: (multimodal) translation, quality assurance, etc.
• Model distillation for realtime performance
  An ongoing or recently completed (within the last 12 months) PhD in Computer Science, Mathematics, AI or a related field
• A record of publication in top conferences/journals
• Experience implementing deep learning algorithms for problems in computer vision, natural language processing, or speech/audio processing
• Hands-on knowledge of state-of-the-art ML methods, such as Transformers, diffusion models, and reinforcement learning
• Experience with post-training foundation models, including SFT, preference training, and reinforcement learning
• Excellent AI coding and experimental engineering skills
• Desirable: game development experience in either C++ or C#
  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.

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., Epic Research conducts state-of-the-art research in machine learning, AI, character animation, and digital humans. We work with leading universities and product teams to bring new research into games like Fortnite, Unreal Engine, MetaHuman, and the tools creators use every day., Epic Games is looking for current PhD students and recent PhD graduates (within 12 months of graduation) for paid research internships, working on state-of-the-art machine learning across our ecosystem. Epic makes Unreal Engine, which powers creative work across many industries, alongside some of the world's most popular games, including Fortnite and Rocket League. Through these products, ML research at Epic reaches millions of creators and players every day. AI is reshaping the games industry, and Epic Research - led by Lucia Specia and Michael Black - is at the center of that shift. We're looking for talented interns who want to be part of it., Epic Games is a leading interactive entertainment company. For over 30 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. 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.

• Duration: 5-12 months initially (depending on your location), with flexible start-dates throughout 2026/2027
• Hours: full-time (40 hours/week) or part-time (20 hours/week)
• Location: Select regions within the UK, US or Canada
• Employment Authorization: You must hold an existing right to work in the UK, US or Canada for the full duration of the internship - Visa sponsorship or support is unavailable for this role
• Publishing: Research by Epic interns is regularly published in top-tier conferences