Microsoft is looking to drive innovation at the intersection of vibe coding, low code, and Copilot by developing AI-native business applications that enable multi-step reasoning and decision-making, empowering customers and partners to build on their platform.
Requirements
- Prior expertise in natural language processing (NLP).
- Strong foundation in large language model (LLM) development, evaluation, and fine-tuning.
- 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 is essential.
- Comfortable working in a experimentation-driven environment.
- Deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.
Responsibilities
- Lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.
- Collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible.
- Develop robust evaluation frameworks.
- Apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.
- Apply 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.
- Leverage both offline and online evaluation methods to iterate rapidly and optimize agent behavior.
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
