Research Scientist, Gemini Vision, DeepMind
Mountain View, CAJob$174–252K/yrPosted 1 day agoStill listed today
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Job overview
The Research Scientist will advance Gemini’s multimodal understanding and generation, including image and video capabilities. The role combines research and engineering to develop and scale models, run experiments across pre-training and post-training, and build infrastructure and data pipelines for training and evaluation. The scientist will collaborate with researchers and software engineers to move research prototypes into production-ready foundation models and contribute findings to the wider research community.
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Full job description
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corporate_fareDeepMindplaceMountain View, CA, USA; Zürich, Switzerland; +3 more; +2 more
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info_outline XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County 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; Zürich, Switzerland; Los Angeles, CA, USA; New York, NY, USA.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda and influencing other researchers.
- 2 years of experience in an applied research setting.
- Experience in software engineering, including coding, code reviews, design discussions and reviews.
- Experience in Artificial Intelligence or Machine Learning.
Preferred qualifications:
- Experience with the GenAI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision).
- A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.
About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities
- Bring a combination of engineering and research expertise to advance Gemini's multimodal understanding and generation capabilities.
- Design, implement, and scale state-of-the-art Large Language Models (LLM's) core image/video understanding capabilities.
- Drive end-to-end experimental workflows across pre-training and post-training.
- Build robust, scalable infra and data pipelines to support high-quality multimodal training and eval benchmarks.
- Partner closely with Research Scientists and Software engineers (SWEs) to transition cutting-edge research prototypes into production-ready foundation models, striking the right balance between rapid prototyping, maintainability, and generality.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. 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.
How this job compares
Set against the 2,289 open Research Scientist jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$174–252K/yr
- California median$180–270K/yr495 salary ranges
- US median$150–228K/yr1,542 salary ranges
This range's midpoint, $213K, is 6% below the California median midpoint ($226K) — in the middle half of Research Scientist salary ranges in California.
- Openings
- Olive Jobs lists 713 open Research Scientist jobs in California and 2,289 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience; Research Scientist postings that state a minimum ask for 5 years at the median (1,264 postings).
- Education
- 1,201 of the 2,289 open Research Scientist jobs (52%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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