Applied Scientist II (Bing Places)
Core
Formulate complex product and engineering problems as machine learning and AI tasks to improve Bing Places quality, relevance, and coverage.
Role type
Senior Applied Scientist (Search & Local Discovery)
Builds
ML- and LLM-based models for search ranking, local entity understanding, and knowledge graphs
Domain
Search, Information Retrieval, Local Discovery
Deliverable
production ML models
Required skills
Machine learning, statistical methods, data-driven problem solving, Python, modern ML frameworks (PyTorch, TensorFlow, JAX), experimentation methodologies (offline metrics, A/B testing), distributed training, model optimization, production ML infrastructure
Preferred skills
RAG, ranking, classification, reasoning, knowledge graphs, local/entity understanding, technical writing (papers, patents)
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Design, implement, and evaluate ML/LLM models; conduct rigorous data analysis to define success metrics; prototype new modeling approaches; own experimentation pipelines; partner with engineers for production integration; drive technical direction and document results
Seniority
Senior, hands-on IC
