Senior Applied Scientist
Microsoft · Redmond, WA · Applied Sciences
About this role
Microsoft is hiring a senior-level Applied Scientist in the machine learning function based in Redmond, WA (hybrid). The posting calls out experience with Python, Java, C#, LLMs and roughly 4+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $119,800–$234,700 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redmond, WA
- Work mode
- Hybrid
- Experience
- 4+ years
- Education
- Bachelor's degree
- Department
- Applied Sciences
- Posted
- Feb 26, 2026
More roles at Microsoft
Job description
from Microsoft careersWe’re hiring a Senior Applied Scientist with expertise in natural language processing (NLP), deep learning, and Ads recommender systems in Redmond, WA or Mountain View, CA.
In this role, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across all surfaces for Microsoft Ads and Shopping including Bing, Copilot, and beyond.
You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads and shopping products.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.