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 337+ Research Scientist jobs
Minimum qualifications:
- PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, Physics, or equivalent practical experience.
- 2 years of experience (industry or internships) in building world models for adaptive systems, foundation models, continuous dynamical systems, state-space models, and deep generative architectures.
- Experience with model robustness, out-of-distribution generalization, and uncertainty quantification.
- Research experience with first-author publications at machine learning venues or domain journals (NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- Strong experience learning underlying system dynamics from partially observable environments, managing irregular sampling, missing modalities, and latent state estimation.
- Experience applying these methodologies to biomedical domains, framing multi-modal healthcare data, longitudinal EHRs (e.g., MIMIC-IV), and physiological telemetry as complex adaptive systems.
- Proficiency in Python and modern deep learning frameworks (JAX, PyTorch, or TensorFlow).
- Strong collaborative skills for working in interdisciplinary teams alongside clinical partners.
- Passion for AI technology and all of its possibilities.
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.
Frontier Health is developing foundational biomedical intelligence to transform outcomes for complex systemic diseases. We build physiological world models and agentic decision systems that simulate disease advancement and treatment responses across critical care, oncology, and metabolic health. By bridging multi-modal telemetry, EHR data, and reinforcement learning, we are shifting healthcare from reactive observation to proactive intervention.
As a Research Scientist, you will advance foundational models for human biology. You will manage problems spanning continuous dynamical systems and counterfactual reasoning to decode pathophysiology.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Conduct fundamental and applied ML research to develop physiological and behavioral world models simulating continuous-time human biology.
- Design novel machine learning architectures (e.g., state-space models, neural dynamical systems) for multi-modal clinical telemetry and longitudinal EHRs (e.g., MIMIC-IV).
- Build and maintain robust evaluation benchmarks (OxyBench) to assess disease trajectory predictions, acute clinical events (e.g., sepsis), and counterfactual treatment simulations.
- Collaborate cross-functionally with ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris.
- Publish original research in top machine learning conferences and leading medical journals.
Minimum qualifications:
- PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, Physics, or equivalent practical experience.
- 2 years of experience (industry or internships) in building world models for adaptive systems, foundation models, continuous dynamical systems, state-space models, and deep generative architectures.
- Experience with model robustness, out-of-distribution generalization, and uncertainty quantification.
- Research experience with first-author publications at machine learning venues or domain journals (NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- Strong experience learning underlying system dynamics from partially observable environments, managing irregular sampling, missing modalities, and latent state estimation.
- Experience applying these methodologies to biomedical domains, framing multi-modal healthcare data, longitudinal EHRs (e.g., MIMIC-IV), and physiological telemetry as complex adaptive systems.
- Proficiency in Python and modern deep learning frameworks (JAX, PyTorch, or TensorFlow).
- Strong collaborative skills for working in interdisciplinary teams alongside clinical partners.
- Passion for AI technology and all of its possibilities.
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.
Frontier Health is developing foundational biomedical intelligence to transform outcomes for complex systemic diseases. We build physiological world models and agentic decision systems that simulate disease advancement and treatment responses across critical care, oncology, and metabolic health. By bridging multi-modal telemetry, EHR data, and reinforcement learning, we are shifting healthcare from reactive observation to proactive intervention.
As a Research Scientist, you will advance foundational models for human biology. You will manage problems spanning continuous dynamical systems and counterfactual reasoning to decode pathophysiology.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Conduct fundamental and applied ML research to develop physiological and behavioral world models simulating continuous-time human biology.
- Design novel machine learning architectures (e.g., state-space models, neural dynamical systems) for multi-modal clinical telemetry and longitudinal EHRs (e.g., MIMIC-IV).
- Build and maintain robust evaluation benchmarks (OxyBench) to assess disease trajectory predictions, acute clinical events (e.g., sepsis), and counterfactual treatment simulations.
- Collaborate cross-functionally with ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris.
- Publish original research in top machine learning conferences and leading medical journals.
See All 337+ 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
- Google137
- DeepMind46
- Nuro36
- Waymo27
- Intuit18
Top Industries Hiring
- Technology & Software55
- Electronics & Hardware27
- Artificial Intelligence27
- Transportation & Logistics27
- Science & Research18
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 August 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 18% of research scientist openings tied to Mountain View are remote or hybrid as of August 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 August 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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