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Imagine shaping the future of local search for millions of users worldwide. At Bing Places, you’ll join a team that powers business entity relevance on the search results page. You’ll work on cutting-edge tools and metrics that ensure users find the most accurate and meaningful local results. Our team thrives on innovation, leveraging large and small language models, and advanced measurement systems to deliver exceptional quality. As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You’ll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Genaration, and create scalable workflows for measurement and evaluation. This opportunity will allow you to: Accelerate your career growth by working on state-of-the-art AI systems. Develop deep expertise in prompt engineering and model tuning. Hone your skills in building robust data pipelines and quality frameworks.
Job Responsibility:
Design and implement new relevance metrics to measure and improve local search quality.
Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.