Principal AI Researcher, AISWP (Hybrid)
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Looking for a research scientist job in Seattle? Choose from 20 open roles at 9 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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As of 23 September, 17 research scientist roles are open in Seattle at 9 employers. Of the roles that say how they work, 35% are remote or hybrid.
Research scientist roles make up a small share of the listings on the board in Seattle. Among the roles that state a seniority level, senior positions account for the largest share, at nearly half, while lead-level roles account for about a third. Intern and junior openings each represent a small minority. Most of the current openings were posted within the past month, with only a small share appearing in the last week or two and none posted this week. Hiring is notably concentrated: a large majority of listed roles come from just five employers. Because there is not yet enough weekly history, nothing can be said about how the number of openings has moved over time.
Figures are measured every Monday.
Research scientists in AI design, run and publish original experiments to advance the state of machine learning models and systems. The work spans formulating research questions, implementing and training models, analysing results and writing up findings for peer review. In Seattle, this kind of work is spread across large technology companies whose headquarters or major campuses are in the area, as well as dedicated research institutes such as Ai2, the non-profit founded by Microsoft co-founder Paul Allen. The University of Washington's Allen School and its Institute for Protein Design also contribute to a research environment where AI methods meet diverse application domains, from language and vision to structural biology.
Publications are mentioned in the overwhelming majority of descriptions, suggesting a track record of peer-reviewed work matters greatly. PyTorch and Python appear in most descriptions, and large language models and reinforcement learning feature heavily too. Computer vision, distributed training, evaluation methodology and fine-tuning are each mentioned in a substantial minority of postings. TensorFlow appears less often than PyTorch. PhD and master's degrees are both mentioned frequently, though skills figures reflect mentions in descriptions rather than formal requirements.
Among the roles that state a working arrangement, most are fully on-site, while the remaining share is hybrid. No roles listed here are described as fully remote. Candidates should expect that the majority of these positions will involve regular presence at an employer's facility.
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