- Redmond, Washington, United States
- On-site
- Full-time · Mid
- $102K–$219K per year
- 2+ years
Apply machine learning and information retrieval methods to enterprise search problems within the Copilot Agents & Search Quality team.
Compensation
The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
- Investigate search and retrieval quality problems using data, offline evaluation, and statistical analysis.
- Develop and test methods for query understanding and sparse, dense, or multimodal retrieval, including large language model techniques where appropriate.
- Build and analyze evaluations and experiments; explain results, limitations, and recommendations to partners.
- Collaborate with engineering and product teams to integrate validated approaches and assess quality, latency, and efficiency.
- Document findings and refine solutions based on evaluation results and product needs.
Requirements
- 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
- Nice to have: Information retrieval or search relevance