Research Scientist Jobs in Mountain View, CA
Research Scientist jobs in Mountain View are in strong demand, concentrated along the Castro Street corridor, the North Bayshore technology campus cluster, and the Moffett Field research zone, with openings across artificial intelligence, semiconductors, biotechnology, and climate technology. Employers actively hiring include Google, DeepMind, and Nuro. See the openings below and apply to the ones that match your experience.
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Showing 5 of 448+ Research Scientist jobs
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
- Experience conducting research and development, including experimental design, implementation, and analysis.
- One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- Experience in developing multimodal AI models and systems.
- Experience fine-tuning and post-training LLMs.
- Experience with developing generative AI architectures, techniques, and agentic AI solutions.
- Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
- Proven expertise in working with, tuning, and prototyping vision-language models (VLMs) using modern strategies.
- Strong interest in and awareness of the AI alignment, safety, responsibility, and landscape, with an excitement to collaborate across disciplines.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop deep understanding of foundation model, language and multi-modal technologies and approach to applying them in the product’s context.
- Prototype new (“zero-to-one”) features and capabilities, and partner with teammates to land them in production.
- Improve product quality and cost optimization via novel approaches and generation of novel data sets.
- Collaborate within the team and outside the team.
- Influence product roadmap via quantitative and qualitative analysis.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
- Experience conducting research and development, including experimental design, implementation, and analysis.
- One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- Experience in developing multimodal AI models and systems.
- Experience fine-tuning and post-training LLMs.
- Experience with developing generative AI architectures, techniques, and agentic AI solutions.
- Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
- Proven expertise in working with, tuning, and prototyping vision-language models (VLMs) using modern strategies.
- Strong interest in and awareness of the AI alignment, safety, responsibility, and landscape, with an excitement to collaborate across disciplines.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop deep understanding of foundation model, language and multi-modal technologies and approach to applying them in the product’s context.
- Prototype new (“zero-to-one”) features and capabilities, and partner with teammates to land them in production.
- Improve product quality and cost optimization via novel approaches and generation of novel data sets.
- Collaborate within the team and outside the team.
- Influence product roadmap via quantitative and qualitative analysis.
See All 448+ Research Scientist Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Research Scientist JobsResearch Scientist Job Market in Mountain View
Who's Hiring
- Google146
- DeepMind112
- Nuro45
- Intuit22
- Youtube22
Top Industries Hiring
- Technology & Software56
- Electronics & Hardware34
- Artificial Intelligence34
- Transportation & Logistics34
- Science & Research22
Research Scientist Jobs in Mountain View: Frequently Asked Questions
How do I get a research scientist job in Mountain View?
Focus your search on the technology companies clustered in North Bayshore, the life sciences firms near Moffett Field, and the semiconductor and AI labs concentrated along the US-101 corridor. Candidates with hands-on experience in machine learning, materials science, or computational biology stand out most in Mountain View's market. Publishing peer-reviewed work, contributing to open-source research projects, and building connections through local IEEE and ACM chapter events all sharpen your edge with Mountain View hiring teams.
Which companies hire research scientists in Mountain View?
Mountain View research scientist roles are posted by Google, DeepMind, and Nuro and others right now, based on current listings on Migrate Mate as of November 2026. Mountain View draws a dense mix of large technology platforms, early-stage deep-tech startups, and federally funded research centers, giving research scientists an unusually wide range of employer types within a compact geography.
Are there remote research scientist jobs in Mountain View?
Yes, though availability depends heavily on the role. Hands-on lab work, hardware prototyping, and experimental research require on-site presence, while computational research, data analysis, and modeling work is often remote-eligible. About 0% of research scientist openings tied to Mountain View are remote or hybrid as of November 2026, with the remote share concentrated in AI, software-driven research, and data science specializations.
How can I get a research scientist job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is landing a research associate or junior scientist role at one of the city's many AI or climate technology startups, which hire earlier-career candidates more readily than larger labs. Internships at NASA Ames Research Center, which sits adjacent to Mountain View in Moffett Field, provide federally backed research experience that carries significant weight locally. Building a portfolio of published work or reproducible research on public datasets also helps candidates break in with Mountain View's data-intensive employers.
Which industries hire the most research scientists in Mountain View?
The sectors hiring the most research scientists in Mountain View are Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. Mountain View's position at the center of Silicon Valley, combined with the presence of NASA Ames and a high concentration of AI-focused companies, makes it one of the densest research hiring markets in the country for those specific fields.
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