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Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The Office of Applied Research brings together experts in Machine Learning (ML) (including reinforcement learning and synthetic data generation), Large Language Models (LLM) (development, evaluation, and fine-tuning), and Human-Centered AI (such as collaboration intelligence and team science). We work closely with research and product partners to ensure Microsoft is advancing cutting-edge research aligned with our core product interests. Our team is looking for candidates that have proven experience in various fields such as Generative AI, LLMs, Natural Language Processing (NLP), Reinforcement Learning (RL), Learning from human feedback and Human-centered AI. We are particularly interested in candidates with expertise in Reinforcement Learning, including methods (RLHF, RLVR, RFT), Environment (Arena, Gym) and Learning from User Feedback in the Wild.
Job Responsibility:
Research Interns put inquiry and theory into practice
Learn, collaborate, and network for life
Contribute to exciting research and development strides
Paired with mentors and expected to collaborate with other Research Interns and researchers
Present findings
Contribute to the vibrant life of the community
Requirements:
Accepted or currently enrolled in a PhD program in Computer Science, Information Science, Statistics, Information Systems, Economics, Operation Research or a related STEM field
At least 1 year of experience in conducting research and writing peer-reviewed publications
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
Ability to think unconventionally to derive creative and innovative solutions
Actively conducting research in at least one of the following areas: Collaborative or Multi-party AI Agents (e.g. AI teammates), Multi Agent Simulations (e.g. evaluating or training AI agents in collaborative settings), Tool-Use and Multi-Turn Reinforcement Learning, Learning from user interactions or human feedback in the wild, Synthetic data generation for LLM evaluation and fine-tuning, Rubric-based LLM graders for reward models, Evaluation and Benchmarking of LLM Agents, Agents (e.g. Memory, Goal management, Inter-Agent conversations), Model finetuning
Ability to collaborate effectively with your mentor and others in Microsoft on research projects
Proficient interpersonal and communication skills, cross-group, and cross-culture collaboration skills
Nice to have:
Ability to think unconventionally to derive creative and innovative solutions
Actively conducting research in at least one of the following areas: Collaborative or Multi-party AI Agents, Multi Agent Simulations, Tool-Use and Multi-Turn Reinforcement Learning, Learning from user interactions or human feedback in the wild, Synthetic data generation for LLM evaluation and fine-tuning, Rubric-based LLM graders for reward models, Evaluation and Benchmarking of LLM Agents, Agents, Model finetuning
Ability to collaborate effectively with your mentor and others in Microsoft on research projects
Proficient interpersonal and communication skills, cross-group, and cross-culture collaboration skills