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Surfaces Model UX Designer, GeminiApp, DeepMind

DeepMindMountain View, CA, USA; New York, NY, USA; +2 more; +1 more
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications:

  • Bachelor's degree in Cognitive Science, Human-Computer Interaction (HCI), Linguistics, a related field, or equivalent practical experience.
  • 6 years of experience in conversation design, content design, with equivalent experience designing for conversational AI/LLMs.
  • include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

Preferred qualifications:

  • Experience in interaction design, particularly managing mixed tactile/voice entry points and mid-conversation modality switching.
  • Experience in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable, user-centered model behavior.
  • Experience in vibe-coding and developing AI-powered prototypes.
  • Familiarity with behavioral data and strong capability to utilize user signals and lifecycle data to create data-driven designs, while being equally capable of moving forward in the absence of data.
  • Excellent communication and collaboration skills with the ability to articulate positions, and challenge cross-functional partners with rigorous model UX principles.

About the job

In this role, you will shape the evolution of Gemini’s mobile experience on Floaty, turning it into a seamless, contextual, and highly listenable assistant. As a key member of the Gemini App Model UX team, you will collaborate with product managers, engineers, and research scientists to solve unique multimodal and voice issues for a highly visible representative experience of Gemini. You will work directly with Google’s advanced AI models to build real-world solutions that refine talk tracks, optimize dynamic responses, and manage complex multi-modal context switching. Your work will ensure that every model response feels intuitive, glanceable, and reliable, driving meaningful engagement and quality improvements for millions of users on-the-go.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google.

Responsibilities

  • Specify the ideal conversational structures, query categorization logic, and underlying interaction patterns that bring voice, text, and multimodal entry points to life.
  • Implement advanced system instructions (SIs) that optimize dynamic responses based on user signals and device capabilities.
  • Apply systems thinking to deliver flexible solutions that scale across a range of devices.  
  • Initiate qualitative assessments of model performance, establishing principle-based rubrics to drive continuous quality hillclimbing across core user journeys (CUJs).
  • Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses, device signals, and screen relevancy work in concert to deliver cohesive, glanceable experiences.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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