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 Honda Research Institute USA. Find a role that fits below and apply directly.
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Showing 5 of 578+ Research jobs
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- Coding experience in Python, JavaScript, R, Java, or C++.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- 1 year of experience owning and initiating research agendas.
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.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Author research papers to share and generate impact of research results across the team and in the research community.
- Help in growing research business across teams by sharing research trends and practices within the community.
- Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance.
- Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- Coding experience in Python, JavaScript, R, Java, or C++.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- 1 year of experience owning and initiating research agendas.
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.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Author research papers to share and generate impact of research results across the team and in the research community.
- Help in growing research business across teams by sharing research trends and practices within the community.
- Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance.
- Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
See All 578+ Research Jobs in Mountain View
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Find Research JobsResearch Job Market in Mountain View
Who's Hiring
- Google280
- DeepMind131
- Honda Research Institute USA56
- Intuit37
- ABAKA AI19
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 Honda Research Institute USA and others right now, based on current listings on Migrate Mate as of September 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 100% of research openings tied to Mountain View are remote or hybrid as of September 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.
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