Microsoft is looking to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate
Requirements
- Prior expertise in natural language processing (NLP), with a solid foundation in large language model (LLM) development, evaluation, and fine-tuning
- Hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making
- Familiarity with prompt engineering, context-aware orchestration, and integrating LLMs with external tools and APIs
- Experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
- 5+ years experience conducting research as part of a research program (in academic or industry settings)
Responsibilities
- Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains
- Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios
- Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments
- Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture
- Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation
- Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence
- Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- Travel requirements not specified
- Visa requirements not specified
