Microsoft is seeking an AI Applied Scientist to contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful, and to help tackle some of the most exciting and meaningful challenges in the field.
Requirements
- 1+ years of experience with generative AI OR LLM/ML algorithms
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- Experience developing and deploying live production systems one or more of the following: C-Sharp, Java, React/Angular, TypeScript
- Experience with design and implementation of enterprise-scale services
- 1+ years of experience publishing in peer-reviewed venues or filing patents
- Experience presenting at conferences or industry events
Responsibilities
- Build collaborative relationships with product and business groups to deliver AI-driven impact
- Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent 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
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- 1+ years of experience conducting research in academic or industry settings
- Experience across the product lifecycle from ideation to shipping
