Description
The 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.
Responsibilities:
- Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
- Design, implement, and evaluate ML- and LLM-based models that improve Bing Places quality, relevance, and coverage
- Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
- Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
- Own experimentation pipelines, including offline validation and large-scale online A/B flighting
- Partner closely with engineers to integrate models into production systems and ensure long-term reliability and performance
- Drive technical direction within your problem space and influence broader modeling and platform decisions
- Document and communicate results through technical design reviews, papers, and patent filings
Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience