Research Intern - Multimodal Learning

Microsoft • Redmond, WA

121d • $5,610 - $11,010 • Remote

About The Position

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, computer science, mathematics, economics, physics, healthcare, and the environment. As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge technology multimodality. This role is ideal for candidates who are passionate about physics informed multimodal learning, generation and multimodal foundation model training, across typical modal vision, text, audio, code and system. You will collaborate with a team of world-class researchers and engineers across MSR lab in Vancouver, Canada, Redmond, US and Cambridge, UK to explore the next generation of multimodal learning and generation paradigm, and unlock the new intelligence capabilities reside in multimodality.

Requirements

• Currently enrolled in a master or PhD program in Computer Science, Electrical Engineering, Mathematics or a related field.
• Ability to work independently and collaboratively in a dynamic and vibrant research environment.
• Willingness to embrace knowledge/technique outside your field of research.
• Solid programming skill in Python, PyTorch and experience conducting experiments and writing papers.
• Experience in LLM pre-training, post-training and inference.
• Reinforcement Learning experiences and frameworks (like VeRL, rLLM).
• Relevant publication such as CVPR, ACL, ICML, ICCV, ECCV, NeurIPS, ICLR, EMNLP etc.

Responsibilities

• Conduct thorough research on emerging trends in LLM, prompt engineering, multimodal foundation model.
• Prepare detailed documentation of simulations, methodologies, and findings.
• Present results and insights to team members and stakeholders.
• Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

What This Job Offers

• Career Level: Intern
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree