What are the responsibilities and job description for the Surfaces Model UX Designer, GeminiApp, DeepMind position at Google DeepMind?
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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:
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
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).
- 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.
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.