Senior Researcher Jobs in Mountain View, CA
Senior Researcher jobs in Mountain View are concentrated in the North Bayshore tech corridor, the Castro Street downtown district, and the Moffett Field and NASA Ames research campus adjacent to the city, with strong demand across technology, life sciences, and AI-driven R&D. Employers hiring right now include Google, DeepMind, and Intuit. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 205+ Senior Researcher 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 205+ Senior Researcher Jobs in Mountain View
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Find Senior Researcher JobsSenior Researcher Job Market in Mountain View
Who's Hiring
- Google99
- DeepMind23
- Intuit15
- Nuro8
- Youtube8
Top Industries Hiring
- Technology & Software15
- Electronics & Hardware8
- Artificial Intelligence8
- Transportation & Logistics8
Senior Researcher Jobs in Mountain View: Frequently Asked Questions
How do I get a senior researcher job in Mountain View?
The strongest path into Mountain View senior researcher roles is through the city's dense cluster of technology and AI companies in the North Bayshore corridor and the government and aerospace research institutions near Moffett Field. Candidates with hands-on experience in machine learning, computational research, or applied science stand out most here. Publishing peer-reviewed work or contributing to open-source research projects that align with local employer priorities gives a meaningful edge in this market.
Which companies hire senior researchers in Mountain View?
Companies currently hiring senior researchers in Mountain View include Google, DeepMind, and Intuit, per current listings on Migrate Mate as of November 2026. Mountain View's employer base skews heavily toward large technology firms, AI-focused labs, and government-adjacent research organizations, which together make up the bulk of senior researcher openings in the city.
Are there remote senior researcher jobs in Mountain View?
Yes, though availability depends on the type of research: analytical, computational, and desk-based roles are commonly remote, while lab-based or hardware-focused positions typically require on-site presence. About 35% of senior researcher openings tied to Mountain View are remote or hybrid as of November 2026, reflecting the city's strong concentration of software and AI employers. Roles at technology companies in the North Bayshore corridor tend to offer the most flexibility.
How can I get a senior researcher job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through a research internship or associate researcher role at one of the city's large technology companies or at NASA Ames Research Center, which regularly brings in early-career researchers through structured programs. Transitioning from a graduate research assistantship or a postdoctoral position into an industry role is also common here. Candidates who have worked with large datasets, published independently, or contributed to collaborative research projects aligned with AI or applied science tend to advance quickly to senior levels in Mountain View's market.
Which industries hire the most senior researchers in Mountain View?
Most senior researcher openings in Mountain View sit in Technology & Software, Electronics & Hardware, and Artificial Intelligence, per current listings on Migrate Mate as of November 2026. Mountain View's position at the center of Silicon Valley, combined with the presence of major technology campuses and the Moffett Field research complex, makes those sectors the dominant drivers of local hiring for this role.
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See All 205+ Senior Researcher Jobs in Mountain View
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