The Azure Language Artificial Intelligence (AI) team is expanding its mission to accelerate the development of agentic AI systems. This role focuses on advancing scientific methods and scalable infrastructure for training agentic models to achieve frontier-level performance.
Requirements
- 2+ years of experience in developing GenAI-powered products across multiple stages of the product lifecycle - from initial concept through to final deployment
- 2+ years of experience in data curation and synthesis for model optimization
- 2+ years of hands-on coding experience in Python and frameworks like PyTorch.
- Experience with both proprietary and open-source frameworks
- Extensive experience with fine-tuning LLMs, SLMs, and agentic models
- Experience working with data curation and synthesis
- Proficiency in programming languages such as Python, and experience with machine learning frameworks like PyTorch
Responsibilities
- Design and implement scalable pipelines for training, evaluation, and inference
- Contribute to innovations that power flagship Microsoft products
- Document findings and contribute to publications and open-source efforts
- Translates business goals into actionable plans by applying cutting-edge research
- Contributions to large language models (LLMs), small language models (SLMs), and agentic models
- Advanced data synthesis leveraging both proprietary and open-source frameworks
- Building reliable, enterprise-grade agentic workflows
Other
- Curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact.
- Self-driven, able to write efficient code, document findings, and demonstrate a track record in these fields.
- Demonstrated ability to collaborate within interdisciplinary teams and communicate complex research concepts effectively;
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Startup-style mindset: agile, solution-oriented, and self-driven
