AI research lab pushing the frontiers of artificial intelligence
15 open design roles
Mountain View, CA / NYC / SF / Seattle
This is the beating heart of Google's AI consumer push. A staff designer on Gemini Assistant gets to define interaction patterns that will touch hundreds of millions of users. The multi-location flexibility and DeepMind pedigree make this one of the most consequential design roles in tech right now.
Mountain View, CA
Motion design at DeepMind's Gemini team means defining how the world's most capable AI model feels in motion. This is frontier interaction design — every animation choice shapes how millions understand and trust AI.
Mountain View / NYC / Seattle
Personalization in AI is the next frontier of product design. This role tackles one of the hardest and most exciting problems: making an AI model feel individually tailored while serving billions. Brand new territory.
Mountain View; New York City; Seattle
Staff-level product design on Gemini Assistant means defining how conversational AI feels and behaves for Google's flagship AI product. The assistant space is the most consequential design challenge in tech right now.
Mountain View, CA
This is a director-level UX role on Gemini — the product Google is betting the company on. Leading growth and discovery UX means shaping how hundreds of millions of people first encounter and adopt AI. One of the highest-impact design leadership roles in tech right now.
Mountain View, CA
A Distinguished Designer at Google DeepMind working on Gemini — this is arguably the most senior design role in AI right now. The person shaping how billions interact with generative AI, from the team that built AlphaGo. A career-defining opportunity for a design leader who wants to work at the frontier of human-AI interaction.
Mountain View; Seattle
Senior Staff level on the Gemini iOS experience means defining how Google's most important AI product feels on Apple's platform — a fascinating design tension. The seniority suggests real architectural influence over interaction patterns.
Mountain View; Seattle
Mobile design for Gemini is where most users will actually experience Google's AI — the phone is the primary interface for the next billion AI users. Staff level means real influence over interaction patterns.
Mountain View; New York City; San Francisco; Seattle
Universal Assistant is an ambitious framing — this is about designing AI that works across every context and modality. It's a fascinating design problem, though the Google bureaucracy at this scale can sometimes slow bold moves.
Mountain View
Model UX Content Design is a genuinely new discipline — shaping how an AI model communicates, what tone it takes, and how it handles ambiguity. This role is inventing the playbook for AI personality and voice at unprecedented scale.
Mountain View
Motion design for Gemini is about making AI feel alive and responsive — the micro-interactions that turn a chat interface into something that feels intelligent. Staff level at DeepMind means defining the motion language for a flagship AI product.
Mountain View; San Francisco
Staff designer on the core Gemini App is a strong position with clear product ownership. The work is highly visible and the AI design challenges are genuinely novel.
Mountain View
Device Experience for Gemini means designing how AI integrates into hardware and OS-level interactions — the kind of systems thinking that defines platform shifts. Compelling for designers who think beyond screens.
Mountain View; San Francisco
Growth and discovery design at DeepMind is solid but leans more toward optimization than the frontier AI design challenges that make other Gemini roles so exciting. Still a strong resume line.
Mountain View; San Francisco; Seattle
UX Program Management is essential operational work, but it's a coordination role rather than a hands-on design position. The DeepMind association adds prestige, though the day-to-day is more about process and planning.