Principal Applied Scientist
Core
Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization; develop LLM-based systems for conversational shopping.
Role type
Principal Applied Scientist (LLMs & Recommendation Systems) (via careerplan.io/jobs/1970393556861123-principal-applied-scientist-at-microsoft)
Builds
Low-latency, reliable Copilot shopping experiences and conversational shopping systems
Domain
E-commerce, Retail, Large-scale Data
Deliverable
production ML models
Required skills
Machine learning model development, LLM prompt engineering, Retrieval-augmented generation (RAG), Tool orchestration, Time-series analysis, Anomaly detection, Python, SQL, Apache Spark, Azure Databricks, Experimentation design, Model governance
Preferred skills
Responsible AI practices, Hallucination mitigation, Offline metrics definition, Mentoring
Technologies
Python, R, SQL, Apache Spark, Azure Databricks, GPT-like models
Responsibilities
Define evaluation frameworks and experimentation strategies for conversational shopping scenarios, Partner with product and engineering teams to translate models into production systems, Provide technical leadership through design reviews and mentoring, Contribute to model governance and Responsible AI practices
Seniority
Principal, hands-on IC with strategic leadership
