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Google DeepMind is seeking a Senior UX Model Designer in Trust and Safety to build safe, high-quality model experiences for GeminiApp. You will lead content strategies, craft system instructions, and collaborate with product, engineering, and data science teams in a fast-paced environment.
The role emphasizes strong writing, guidelines development for LLMs, and cross-functional partnerships to guide product strategy and safety-focused UX design in a rapidly evolving AI landscape.
Share Senior UX Model Designer, Trust and Safety, GeminiApp, DeepMind
info_outline X 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. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
Benefits for this role include:
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; Seattle, WA, USA; San Francisco, CA, USA.
Portfolio highlighting content strategies and longer-form writing samples.
As a Model UX Designer focused on the quality and safety of the Gemini model’s output, you will build new capabilities for users and help them get the best out of the product. You will work in a rapidly evolving, exciting area with a dedicated and passionate team.
In this role, you will be a systems thinker with strong skills in content strategy, UX design, and problem-solving, anchored by a passion for the craft of writing. You will have experience developing guidelines, exemplary content, evaluations, and rubrics for LLMs, as well as writing and editing in a fast-paced, agile environment. Leveraging complex cross-functional partnerships, you will work with product, engineering, research, and data science to articulate and guide product strategy. 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.
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 .
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.
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.