Microsoft
Applied Scientist - AI Experiences Search
$102K–$219K
Redmond, WA · On-site · Full-time · Posted Oct 22, 2026
- Experience
- Bachelor’s degree route: 2+ years related experience; master’s degree route: 1+ year related experience; doctorate route: no years specified; or equivalent experience. Preferred: 1+ year in research publications, patents, or peer-reviewed papers, and 1+ year in machine-learning product development.
- Education
- Bachelor's, master's, or doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field; or equivalent experience.
About the job
Build and advance web-data systems and applied AI methods that improve data quality and readiness for Search, grounding, and LLM training.
What you'll do
- Conduct end-to-end applied research and engineering to improve web-data quality, scale, and model readiness.
- Develop and evaluate machine-learning, LLM, statistical, and data-mining techniques, including using LLMs to score, classify, label, and evaluate data.
- Analyze web-scale data, run experiments, and translate research findings into product decisions and engineering strategy with stakeholders.
What they ask for
- Bachelor’s degree in a listed or related field and 2+ years of related experience; or master’s degree and 1+ year; or doctorate; or equivalent experience.
Nice to have
- 1+ years contributing to research publications, patents, or peer-reviewed academic papers.
- 1+ years of product development experience in machine learning and related areas; experience with large-scale or distributed data processing, high-performance computing, stream processing, or SCOPE is also preferred.
Pay
USD $102,100 - $202,200 per year (base pay); USD $133,800 - $219,200 per year (base pay)
Tools
LLMs, TensorFlow, PyTorch, GPT, BERT, NLP, Transformers/Attention, SCOPE
AI focus
Apply machine learning and LLM methods to web-scale data quality, Search grounding, LLM training, and data scoring, classification, labeling, and evaluation.
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