Microsoft is seeking to develop and integrate advanced AI technologies into its products and services by building a truly open architecture platform that enables users to summon tailored AI solutions to drive real-world outcomes.
Requirements
- 1+ years of experience with generative AI OR LLM/ML algorithms
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Responsibilities
- Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-solutions architectures, as well as classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets.
- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
- Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
- Contribute to papers, patents, and conference presentations.
- Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
- Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
