Microsoft is driving innovation and openness in AI, aiming to build an open architecture platform where users can deploy customized AI agents for real-world impact. The role seeks individuals with both AI and applied science expertise, a growth mindset, and customer empathy to help address significant challenges and shape the future of AI solutions.
Requirements
- 1+ years of experience with Generative AI OR large language model (LLM)/machine learning (ML) algorithms.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- 1+ years of experience publishing in peer-reviewed venues or filing patents.
- 1+ years of experience conducting research in academic or industry settings.
- 1+ years of experience working with Generative AI models and ML (machine learning) stacks.
- Experience with MLOps (machine learning operations) Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps (large language model operations) frameworks (e.g., LangChain, PromptFlow).
Responsibilities
- Collaborate with product and business teams to deliver impactful AI solutions using advanced techniques like foundation models, prompt engineering, and multi-solution architectures.
- Fine-tune AI models with domain-specific data, evaluate and monitor their performance, and rapidly prototype and deploy AI systems.
- Support MLOps (machine learning operations) by translating research into production-ready applications, maintaining clear documentation, and sharing insights.
- Proactively address ethical, privacy, and security risks to ensure responsible AI development throughout the lifecycle.
- Design, develop, and integrate generative AI solutions using deep understanding of language models, deep learning, and optimization techniques to solve business problems.
- Prepare and analyze data for machine learning, identify optimal features, and address data gaps using modern frameworks and state-of-the-art models.
- Ensure scalability and performance of AI solutions, continuously monitor model behavior, and adapt to evolving data streams.
Other
- 3 days / week in-office
- Travel 0-25%
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
- growth mindset, and customer empathy
