Research Scientist, Gemini Multilinguality, Google DeepMind
Listing collected from Google's career site. NextChapter is independent of Google.
Mountain View, CA · Posted November 6, 2026
Just laid off? Start here: a plan for the first weeks
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Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Pay compared with the market
This listing does not state pay. Across 49 open research scientist listings that state pay, the middle half runs $195,000 to $287,500 and the median is $231,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among medical scientists, except epidemiologists is little observed so far. Measured exposure for medical scientists, except epidemiologists: 4% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Google has filed one layoff notice in the last twelve months, covering 52 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
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About the job
Minimum qualifications: Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field, or equivalent practical experience. Experience with research in one or more of the following areas: LLM post-training and alignment, reinforcement learning, multilingual benchmarking, reasoning and agentic systems, or foundation model training. Experience training, post-training, or evaluating foundation models.