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, Gatik, and NuByt. Find a role that fits below and apply directly.
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Showing 5 of 283+ Research Engineer jobs
Minimum qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, or equivalent practical experience.
- 3 years of experience in deep learning research and development, including generative AI, audio and video synthesis, diffusion models, and autoregressive generative models.
- One or more scientific publications in venues like NeurIPS, ICML, ICLR, or equivalent industry contributions.
Preferred qualifications:
- Experience building and deploying spoken dialog systems.
- Experience with reinforcement learning (RL) and post-training with LLMs, especially spoken LLMs.
- Excellent engineering skills in Python and deep learning frameworks (e.g., JAX, PyTorch), with a track record of building high-quality research prototypes and systems.
- Motivated to pick up technologies to adapt and move quickly.
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.
In this role, you will join a fast-paced audio and language team that is fundamental to Google DeepMind’s work on Gemini’s audio capabilities, on music generation, on speech synthesis, on multimodal tokenization, and on diffusion theory. You will dive into both theory and code: to drive independent research initiatives, work with teams on AI, and develop solutions to fundamental questions in machine learning and AI.
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.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Be a part of team of scientists, engineers, machine learning experts, and more, working together to advance in artificial intelligence.
- Use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical issues, ensuring safety and ethics are the highest priority.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, or equivalent practical experience.
- 3 years of experience in deep learning research and development, including generative AI, audio and video synthesis, diffusion models, and autoregressive generative models.
- One or more scientific publications in venues like NeurIPS, ICML, ICLR, or equivalent industry contributions.
Preferred qualifications:
- Experience building and deploying spoken dialog systems.
- Experience with reinforcement learning (RL) and post-training with LLMs, especially spoken LLMs.
- Excellent engineering skills in Python and deep learning frameworks (e.g., JAX, PyTorch), with a track record of building high-quality research prototypes and systems.
- Motivated to pick up technologies to adapt and move quickly.
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.
In this role, you will join a fast-paced audio and language team that is fundamental to Google DeepMind’s work on Gemini’s audio capabilities, on music generation, on speech synthesis, on multimodal tokenization, and on diffusion theory. You will dive into both theory and code: to drive independent research initiatives, work with teams on AI, and develop solutions to fundamental questions in machine learning and AI.
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.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Be a part of team of scientists, engineers, machine learning experts, and more, working together to advance in artificial intelligence.
- Use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical issues, ensuring safety and ethics are the highest priority.
See All 283+ Research Engineer Jobs in Mountain View
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Find Research Engineer JobsResearch Engineer Job Market in Mountain View
Who's Hiring
- DeepMind117
- Gatik17
- NuByt17N
- Waymo17
- Sybill17
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
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, Gatik, and NuByt and others right now, based on current listings on Migrate Mate as of August 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 50% of research engineer openings tied to Mountain View are remote or hybrid as of August 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.
Which industries hire the most research engineers in Mountain View?
Most research engineer openings in Mountain View sit in Technology & Software and Artificial Intelligence, per current listings on Migrate Mate as of August 2026. Mountain View's proximity to NASA Ames Research Center and its dense concentration of AI and semiconductor companies makes it one of the most active research engineering markets on the West Coast.
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