Advancing AI agents that can reason, adapt, and act in complex environments, including adapting large language models (LLMs) to new domains, designing LLM-based agents for workflow automation and advanced tool usage, developing advanced agent memory architectures for long-term reasoning and context retention, exploring multi-agent collaboration and coordination, and enhancing agents’ ability to plan, reflect, and self-improve through feedback.
Requirements
- Experience in machine learning, natural language processing, or related AI areas (e.g., LLMs, AI agents, Reasoning).
- Hands-on experience with one or more topics: large language model fine-tuning, reinforcement learning, prompt engineering, agent memory architectures, planning and reasoning modules, or multi-agent system design and implementation.
- Research contributions demonstrated through publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, IJCAI, KDD or related conferences.
Responsibilities
- Advancing AI agents that can reason, adapt, and act in complex environments.
- Adapting large language models (LLMs) to new domains.
- Designing LLM-based agents for workflow automation and advanced tool usage.
- Developing advanced agent memory architectures for long-term reasoning and context retention.
- Exploring multi-agent collaboration and coordination.
- Enhancing agents’ ability to plan, reflect, and self-improve through feedback.
- Contribute to exciting research and development strides.
Other
- Currently enrolled or accepted in a PhD program in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field.
- At least 1 year of experience in conducting research and authoring peer-reviewed publications.
- 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.
- Strong written and verbal communication skills.
- Ability to collaborate effectively in cross-functional, multi-disciplinary teams across research and product groups.
