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About the Role
Join the Copilot Agents & Search Quality team to deliver innovative products and machine learning solutions across Microsoft, impacting hundreds of millions of users monthly. As a Senior Applied Scientist, you will modernize the search stack, advance state-of-the-art search algorithms, and leverage large language models to optimize query understanding and retrieval. This role is crucial for enhancing core Copilot experiences in M365 Copilot and Search, accelerating productivity and improving information retrieval within organizations.
Responsibilities
- Lead applied research to improve retrieval quality for Microsoft 365 Copilot Chat, Copilot Search, Work IQ, and agent experiences.
- Adapt promising approaches in information retrieval, NLP, and large language models to enterprise data and product needs.
- Modernize the search stack for agentic and traditional search, developing and improving retrieval methods and query-understanding techniques.
- Collaborate with engineering and platform teams to deploy effective approaches at scale.
- Define and measure retrieval quality using datasets, offline evaluation, statistical analysis, and production experiments.
- Own research-backed solutions from problem formulation through deployment, balancing relevance, latency, and efficiency.
- Monitor deployed models for quality and performance, iterating as needed.
- Provide scientific leadership, partnering with product, engineering, and research teams.
- Share practical advances and mentor less experienced scientists.
- Document methods and findings, contributing to publications or intellectual property.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Master's Degree AND 3+ years related experience OR Doctorate AND 1+ year(s) related experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Skills
- Machine learning
- Large language models (LLMs)
- Sparse retrieval algorithms
- Dense retrieval algorithms
- Multimodal retrieval algorithms
- Query understanding
- Information retrieval
- Deep learning
- Python
- PyTorch
- Agentic search
- Query planning
- Iterative retrieval
- Evidence selection
- Grounded responses evaluation
- Offline evaluation design
- Online experiment interpretation
- Technical problem leadership
- Collaboration with engineering and product teams
Location
- U.S.
Work Type
- Full-time
Experience Level
- Senior
- 4+ years related experience with Bachelor's Degree
- 3+ years related experience with Master's Degree
- 1+ year(s) related experience with Doctorate
- 6+ years related experience with Master's Degree (Preferred)
- 3+ years related experience with Doctorate (Preferred)
- 3+ years experience creating publications
- Experience presenting at conferences
- 3+ years experience conducting research
- 1+ year(s) experience developing and deploying live production systems
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle
Education Level
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Salary/Compensations
- USD $119,800 - $234,700 per year (U.S. typical base pay range)
- USD $160,200 - $261,000 per year (San Francisco Bay area and New York City metropolitan area)
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft's mission is to empower every person and every organization on the planet to achieve more.
- Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- Culture is built on values of respect, integrity, and accountability to create an inclusive environment where everyone can thrive.
Equal Opportunity
- Microsoft is an equal opportunity employer.
- All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- Assistance with religious accommodations and/or reasonable accommodation due to a disability during the application process is available.