Jobs / United States / Epic Games INC

Machine Learning Intern

Epic Games INC · 🇺🇸 BLANK,BLANK,Multiple Locations

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

Start free →

Or apply yourself on the official page →

Sponsor Radar — Epic Games INC

17 H-1B filings certified since Oct 2025

The US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Epic Games INC →

About the role

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. 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 - EPIC RESEARCH What We Do 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. MACHINE LEARNING RESEARCH INTERNSHIP AT EPIC GAMES What You'll Do 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. In this role, you will 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 What we're looking for • 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# Internship Details • 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 th

View the official posting →

Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

Similar opportunities