Applied Scientist, Neuron ARG, Annapurna ML
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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.
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.
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.
Jobs checked 2 days ago. ยท Guide reviewed 9 September 2026.
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