As of November 3, 2026, 10 live postings in Seattle are rated Builds AI. The list refreshes every six hours.
$500k-$850kSan Francisco, CA | New York City, NY | Seattle, WA4w
pytorchjaxpython
Research scientist jobs in Seattle that build AI: 10 open roles
Updated Nov 3, 2026
10 live research scientist jobs in Seattle that build AI. By AI level, 10 build AI. 1 work on AI. 4 involve little AI. Across all AI levels, the total is 15. Median salary from $192,000. The median is measured on 7 postings that publish an annual USD range. Top employers by postings: Anthropic, NVIDIA, Scale AI, Amazon.
- open roles
- 10
- Build or work on AI (AI Level 3–4)
- 10
- remote
- 1
New research scientist jobs in Seattle (Builds AI ●●●●) by email
San Francisco, CA; Seattle, WA; New York, NY21mo
San Francisco, CA; Seattle, WA; New York, NY24mo
langgraphpytorchtensorflow+1
$168k-$265kUS, WA, Seattle3mo
pytorchjax
San Francisco, CA; Seattle, WA; New York, NYRemote2mo
pytorchpython
$168k-$265kUS, WA, Seattle1w
pythonmachine-learning-frameworks
$350k-$500kNew York City, NY; New York City, NY | Seattle, WA; San Francisco, CA12mo
pytorch
$500k-$850kSan Francisco, CA | New York City, NY | Seattle, WA30mo
Companies hiring research scientists in Seattle · Builds AI
Get new research scientist jobs in Seattle (Builds AI ●●●●) by email
1 new research scientist jobs in Seattle (Builds AI ●●●●) in the last 7 days, as of Nov 3, 2026. One email a week, only when a new one matches this page.
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Common questions
How many research scientist in Seattle jobs build AI?
How much do research scientist in Seattle jobs pay?
As of November 3, 2026, the median starting salary is $192,000 a year, measured on the 7 postings that publish an annual salary range in US dollars.
Which companies are hiring for research scientist in Seattle that build AI?
As of November 3, 2026, by number of live postings: Anthropic (3), NVIDIA (3), Scale AI (3), Amazon (1).
Which skills come up most in research scientist jobs in Seattle?
As of November 3, 2026, named in the title or description, with the number of postings that mention each: Machine learning (8), Reinforcement learning (7), PyTorch (5), C++ (4), Deep learning (4).
Method: counted from live, non-expired postings whose title matches the role, filtered to the AI level and, when shown, the city named above (matched against the free-text location field, which can over- or under-count secondary offices). Companies that only republish other employers' postings are excluded from the employer ranking and the salary median. Recalculated every 10 minutes. Levels follow our method.