Applied Scientist II (Bing Places)
Microsoft · Redmond, WA · Applied Sciences
About this role
Microsoft is hiring a mid-level Applied Scientist in the machine learning function based in Redmond, WA. The posting calls out experience with Python, TensorFlow, PyTorch, LLMs. Compensation is listed at $102,100–$202,200 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redmond, WA
- Department
- Applied Sciences
- Posted
- May 29, 2026
More roles at Microsoft
Job description
from Microsoft careersThe Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.
As an Applied Scientist on Bing Places,
- You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
- You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.
- You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents
Bing Location Understanding and Geocoding team - (Redmond, WA)
The Bing Location Understanding (BLU) and Bing Geocoding (BingGC) teams build the core intelligence that powers location interpretation, address understanding, and geospatial reasoning across Bing, Maps, and downstream Microsoft experiences. Our systems operate at global scale and combine machine learning, natural language understanding, ranking, and large‑scale data processing to deliver high‑quality results in real time.