Microsoft is seeking to advance its mission to empower every individual and organization on the planet to achieve more by developing and integrating cutting-edge AI technologies into its products and services, ensuring they are inclusive, ethical, and impactful.
Requirements
- 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.
- 3+ years of experience publishing in peer-reviewed venues or filing patents.
- Experience presenting at conferences or industry events.
- 1+ years of experience working with Generative AI models and ML stacks.
Responsibilities
- Bringing the State of the Art to Products
- 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.
- 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 4+ 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.
- 3+ years of experience conducting research in academic or industry settings.
- Experience across the product lifecycle from ideation to shipping.
