Research Jobs in Mountain View, CA
Research jobs in Mountain View are concentrated in the North Bayshore and Castro Street corridor, as well as the Middlefield Road tech cluster, across life sciences, artificial intelligence, and consumer technology. Employers actively hiring right now include Google, DeepMind, and Nuro. Find a role that fits below and apply directly.
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Showing 5 of 102+ Research jobs
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 6 years of experience with research agendas across multiple teams or projects.
- Experience implementing core AI algorithms or concepts.
- Experience in software engineering, technically involved in coding, code reviews, design discussions and reviews.
- Experience with Large Language Models, Natural Language Processing (NLP) or Generative AI.
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
Preferred qualifications:
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
- 4 years of experience leading multiple research efforts and influencing research direction. 2 years of coding experience.
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 various 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: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work on Post training for Gemini Tool-use and Agents.
- Author research papers to share and generate impact of research results across organizations and in the research community.
- Contribute to research growth by sharing research trends and best practices within the community, reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.
- Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation, while identifying timelines and securing resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators and own the long-term research strategy and plans to expand the impact of Google research.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 6 years of experience with research agendas across multiple teams or projects.
- Experience implementing core AI algorithms or concepts.
- Experience in software engineering, technically involved in coding, code reviews, design discussions and reviews.
- Experience with Large Language Models, Natural Language Processing (NLP) or Generative AI.
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
Preferred qualifications:
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
- 4 years of experience leading multiple research efforts and influencing research direction. 2 years of coding experience.
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 various 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: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work on Post training for Gemini Tool-use and Agents.
- Author research papers to share and generate impact of research results across organizations and in the research community.
- Contribute to research growth by sharing research trends and best practices within the community, reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.
- Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation, while identifying timelines and securing resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators and own the long-term research strategy and plans to expand the impact of Google research.
See All 102+ Research Jobs in Mountain View
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Find Research JobsResearch Job Market in Mountain View
Who's Hiring
- Google30
- DeepMind14
- Nuro9
- Rhoda AI9
- Waymo5
Top Industries Hiring
- Technology & Software36
- Artificial Intelligence24
- Electronics & Hardware10
- Transportation & Logistics8
- Automotive2
Research Jobs in Mountain View: Frequently Asked Questions
How do I get a research job in Mountain View?
Focus your search on Mountain View's dominant sectors: AI and machine learning, life sciences, and hardware engineering, where research roles are most active. North Bayshore hosts many large technology campuses with dedicated research divisions, while smaller biotech and deep-tech startups cluster along Middlefield Road. Candidates who demonstrate hands-on lab or computational experience specific to these fields, along with a portfolio of published work or project outcomes, stand out in this market.
Which companies hire researchs in Mountain View?
Mountain View research roles are posted by Google, DeepMind, and Nuro and others right now, based on current listings on Migrate Mate as of July 2026. The local employer mix includes global technology firms with large in-house research divisions, early-stage AI startups, and biomedical companies, giving candidates a wide range of scale and specialization to target.
Are there remote research jobs in Mountain View?
Yes, though availability depends heavily on the type of research: computational, data, and policy research roles tend to be remote-friendly, while wet-lab, hardware, and clinical research positions almost always require on-site presence. About 17% of research openings tied to Mountain View are remote or hybrid as of July 2026, reflecting the city's strong concentration of software and AI research. Analytical and modeling roles at Mountain View tech firms are the most likely to offer flexible arrangements.
How can I get a research job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through a research assistant or associate role at one of the city's large technology campuses or university-affiliated labs nearby. Many Mountain View AI and life sciences employers run internship pipelines that convert to full-time research positions, making those programs a direct door. Contributing to open-source projects, publishing on preprint servers, or completing a capstone tied to a local industry problem signals genuine initiative to Mountain View hiring teams reviewing early-career applicants.
Which industries hire the most researchs in Mountain View?
The sectors hiring the most researchs in Mountain View are Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. Mountain View's identity as a global center for AI development and its proximity to major life sciences corridors make these sectors the primary and consistent drivers of local research hiring.
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