Senior Applied Scientist (Bing Places)
Core
Design, implement, and evaluate ML- and LLM-based models to improve Bing Places quality, relevance, and coverage, driving work from problem formulation and data analysis through production deployment and live flighting.
Role type
Senior Applied Scientist (Bing Places)
Builds
ML and LLM models for Bing Places
Domain
Search / AI / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, distributed training, model optimization, production ML infrastructure, large-scale dataset evaluation, offline validation, online A/B testing, RAG, ranking, classification, reasoning
Preferred skills
N/A
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Formulate complex product and engineering problems as machine learning and AI tasks; Design, implement, and evaluate ML- and LLM-based models; Conduct rigorous data analysis to understand system behavior and define success metrics; Prototype new modeling approaches and iterate based on offline evaluation and online experimentation; Own experimentation pipelines including offline validation and large-scale online A/B flighting; Partner with engineers to integrate models into production systems; Drive technical direction and influence broader modeling and platform decisions
Seniority
Senior, hands-on IC