Microsoft Copilot Tuning Research team is seeking to adapt and tune AI for critical, high-value applications, including new productivity tools, by leveraging novel training and post-training algorithms, AI architecture, and agentic innovations to adapt M365 Copilot using customer-specific data and domain expert feedback.
Requirements
- Experience implementing new AI systems or algorithms and running experiments and analyses to study and evaluate their performance
- Experience with training or post-training of LLMs, multimodal models, diffusion models, reasoning models, computer use agents, or building other related architectures or AI systems
- Experience in Python software development, ideally demonstrated by published software projects (e.g., Github)
Responsibilities
- Perform cutting-edge and thorough research in collaboration with other researchers, applied scientists, and engineers
- Prepare detailed report of methodologies and findings, present results and insights, and demonstrate working prototypes
- Apply your in-depth knowledge, problem-solving skills, and drive to innovate to solve new challenges in the field and be given an opportunity to realize your ideas in products and services used worldwide.
- Contribute to advancing generative AI models, reinforcement learning methods, agentic systems and tool use, computer-use agents, evaluations, automated data curation, multimodal, embeddings, and related technologies.
- Develop and implement cutting-edge technology in artificial intelligence.
- Improve AI capabilities to handle increasingly complex tasks inspired by real customer needs.
- Collaborate with a team of world-class researchers, applied scientists, engineers, and product managers.
Other
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
- Ability to work in a dynamic, collaborative environment, through effective communication, with a multi-disciplinary team
- Strong interest in real-world applications and impact
- Demonstrable ability to define an ambitious, original research agenda
