Research Engineer Jobs in Mountain View, CA
Research Engineer jobs in Mountain View are concentrated in the North Bayshore tech corridor, Castro Street corridor, and the Moffett Park area, with the heaviest demand coming from AI, semiconductor, and aerospace research sectors. Employers hiring right now include DeepMind, Google, and Samsung Research America. Find a role that fits below and apply directly.
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Showing 5 of 319+ Research Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience designing, constructing, and deploying evaluation frameworks that capture programmatic or algorithmic performance.
Preferred qualifications:
- 1 year of agentic memory research experience.
- Experience training and fine-tuning models in environments with accelerators, with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management.
About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive research on post-training techniques (e.g., RL, SFT, and preference optimization) specifically tailored for personalization scenarios.
- Develop novel evaluation frameworks to measure model quality against user behaviors/feedback.
- Design and train agents capable of orchestrating tools and APIs to deliver hyper-personalized experiences.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience designing, constructing, and deploying evaluation frameworks that capture programmatic or algorithmic performance.
Preferred qualifications:
- 1 year of agentic memory research experience.
- Experience training and fine-tuning models in environments with accelerators, with a track record of deploying production-grade AI agents that manage tool-use (function calling) and complex state management.
About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive research on post-training techniques (e.g., RL, SFT, and preference optimization) specifically tailored for personalization scenarios.
- Develop novel evaluation frameworks to measure model quality against user behaviors/feedback.
- Design and train agents capable of orchestrating tools and APIs to deliver hyper-personalized experiences.
See All 319+ Research Engineer Jobs in Mountain View
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Find Research Engineer JobsResearch Engineer Job Market in Mountain View
Who's Hiring
- DeepMind213
- Google71
- Samsung Research America18
- Information Technology Senior Management Forum18
Research Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a research engineer job in Mountain View?
Mountain View research engineer roles cluster in AI and machine learning, semiconductor design, and aerospace systems, with most openings tied to the North Bayshore tech corridor and Moffett Park area near NASA Ames. Candidates with hands-on experience in those domains and a strong publication or project portfolio stand out. Targeting mid-size deep-tech firms alongside large tech employers broadens your options considerably.
Which companies hire research engineers in Mountain View?
Mountain View research engineer roles are posted by DeepMind, Google, and Samsung Research America and others right now, based on current listings on Migrate Mate as of November 2026. The local employer mix ranges from global technology companies to government-adjacent research labs and early-stage startups working on applied AI, hardware, and life sciences.
Are there remote research engineer jobs in Mountain View?
Yes, though research engineer roles vary widely: desk-based modeling, data analysis, and software-adjacent research translate well to remote, while hardware, lab, and prototype work almost always requires on-site presence. About 100% of research engineer openings tied to Mountain View are remote or hybrid as of November 2026, with hybrid arrangements most common at the larger tech campuses in North Bayshore.
How can I get a research engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through a research internship or contract role at one of the city's many applied AI or hardware firms, several of which recruit directly from graduate programs at nearby universities. Entry-level titles like associate research engineer or research associate are common at both large tech employers and funded startups. A strong project portfolio, open-source contributions, or co-authored research papers give candidates a concrete edge in this market.
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