Google DeepMind Montreal Recruits Student Researchers for Generative AI in Creative Industries

Google DeepMontreal researcher Kory Mathewson announced in a series of posts on November 5 that the team is recruiting student researchers, and gave a systematic overview of the group's research agenda in generative AI and the creative industries.

Confirmed

• The opening targets current BS/MS or PhD students (who must return to school), for Winter/Summer 2027 start dates, based in Montreal, Canada, running 12-24 weeks with flexible full-time/part-time options, on a rolling-review basis.
• The role's mission is to put the strongest generative AI in the hands of the best creators, pushing models beyond current boundaries in media and entertainment; backgrounds in ML/CV, graphics, audio, HCI, and creative technology are welcome, and the team is open to all backgrounds.
• Mentors on the team lead research directions including controllable video/audio/music generation, dynamic scene generation and customization, new multimodal capabilities and control, and building systems with frontier models.
• Recent research includes a Scientific Reports paper systematically comparing divergent creativity between humans and LLMs using data from 100,000 people, plus AR+LLM work.
• Recent culture and film/TV collaborations include: AI-reconstructing Pelé's famous "lost goals" footage, a partnership with A24, ANCESTRA with Eliza McNitt, Love, Rendered directed by Liz Garbus, Dear Upstairs Neighbors, and remastering The Wizard of Oz for the Sphere.

Why it matters

The posts offer a concentrated look at the DeepMind Montreal team's roadmap for systematically bringing frontier generative models into professional film, music, and entertainment production, along with real collaboration cases with renowned directors, studios, and institutions; for students interested in creative applications of generative AI, this is a clear first-hand recruiting channel.

2026-11-05 ~ 2026-11-05 · 7 related posts

• [source] Google DeepMind Montreal recruits student researchers for generative AI in media & entertainment — korymath · 2026-11-05
• More DeepMind AI film collabs: Love, Rendered, ANCESTRA, and Google Flow workflows — korymath · 2026-11-05
• DeepMind researcher lists AI entertainment collabs: Pelé's lost goal, A24, Lewis Capaldi x Veo — korymath · 2026-11-05
• DeepMind Montreal team projects: controllable generation, dynamic scenes, multimodal controls — korymath · 2026-11-05
• Study benchmarks divergent creativity of LLMs against 100,000 humans in Scientific Reports — korymath · 2026-11-05
• [source] DeepMind student researcher FAQ: Montreal, 12–24 weeks, rolling review — korymath · 2026-11-05

1 near-duplicate retellings: korymath