Applied Scientist Jobs in Seattle, USA

Looking for an applied scientist job in Seattle? Choose from 132 open roles at 3 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

132 Open roles
3 Companies hiring
โ€” Average salary

Companies hiring Applied scientists in Seattle

What do Applied scientists in Seattle work on?

The sample summaries show roles that sit at the boundary of research and engineering: you build, evaluate, and ship machine learning systems rather than publishing research as an end in itself. Domains on this page span streaming media recommendation and search (see Prime Video Personalization and the senior variant), clinical AI and natural language understanding for healthcare (AWS Healthcare-AI), deep learning compiler infrastructure (Annapurna ML), checkout-free retail computer vision (AWS Applied AI Solutions), and enterprise speech-to-text for regulated industries (Alexa Enterprise). Typical day-to-day work includes designing and running experiments, implementing models in production code, collaborating with software engineers and product managers, and evaluating model performance through A/B tests and offline metrics. Several summaries mention end-to-end ownership from prototype to launch.

Skills and experience employers ask for

The skills table reflects mentions across all postings on this page, not formal requirements, and the sample is dominated by one employer, so patterns may not generalise. PhD and Python appear in nearly all postings; C++, Java, and a Master's degree appear in most. Publications are mentioned in a majority. LLMs, A/B testing, statistics, and reinforcement learning appear in roughly a third to half of postings, suggesting they are common but not universal expectations.

PhD 96%
Python 95%
C\+\+ 91%
Java 90%
Master's degree 86%
Publications 63%
LLMs 36%
A/B testing 35%
Statistics 34%
Evaluation 31%
Reinforcement learning 28%
Spark 27%
TensorFlow 24%
AWS 23%

Seattle office, hybrid or remote?

Every posting on this page is listed as onsite; none is marked hybrid or remote. Where a city is mentioned explicitly in a summary โ€” such as the AWS Healthcare-AI role, which names Mountain View or Seattle โ€” candidates should check the individual posting for the precise site. For roles where no specific building or campus is stated, the work location beyond "Seattle" is not stated in these postings. Candidates who need clarity on exact office location or any flexible-working arrangements should raise that directly with the employer.

Make your application specific to the work

  1. Read the full posting carefully Each role has a distinct domain and a specific experience-level requirement; the seniority titles and year thresholds vary, so confirm which level you are applying to before starting an application.
  2. Prepare evidence of technical depth Publications and patents are mentioned in a majority of postings, and most ask for demonstrated ML modelling experience, so gather concrete examples of shipped systems or research outputs before applying.
  3. Check your programming language coverage Python, C++, and Java are mentioned across most of the postings; review which combination a specific role emphasises and be ready to discuss relevant project experience in those languages.
  4. Verify visa and degree eligibility directly Visa sponsorship availability and exact degree requirements are not confirmed in these summaries; contact the employer or check the full job description on the employer's careers site to confirm eligibility before applying.

Questions about Applied Scientist jobs in Seattle

None of the postings on this page include an advertised pay range. One summary for the AWS Healthcare-AI role mentions that salary information exists but the text is cut off. You would need to consult the full posting or ask the employer directly.

All postings on this page are listed as onsite. None are marked hybrid or remote. If flexible working matters to you, you should raise it with the employer, as this page does not contain any stated exceptions.

A PhD is mentioned in the descriptions of most postings on this page, but several summaries also describe a Master's degree as an alternative route, typically paired with additional years of experience. The exact combination varies by role, so check the specific posting.

The postings on this page come from Amazon, Adobe, and Moloco. The large majority are from Amazon, which spans many internal teams including AWS, Prime Video, Alexa, and Amazon Robotics.

The postings cover a range of levels. Senior roles make up roughly half the postings where seniority is stated; lead and executive levels are a smaller portion. A significant number of postings do not state a seniority level explicitly. There is also one manager-level posting in this set.

Jobs checked 2 days ago. ยท Guide reviewed 9 September 2026.