Research Sciences Intern

Overview

Microsoft Research Asia – Tokyo is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas, including computer vision, generative AI, 3D perception, and robotic action learning, among others relevant to Embodied AI. By pushing the boundaries of these domains, we aim to develop innovative solutions that bridge the gap between the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios.

Responsibilities

• Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in machine learning and natural sciences.
• Write research code to test new approaches or develop novel insights for machine learning in the natural sciences, particularly retrosynthesis and drug discovery.
• Communicate research findings to an interdisciplinary research team.
• Prepare technical papers, presentations, and open-source releases of research code.

Qualifications

Required Qualifications

• Currently enrolled in a PhD program in Computer Science or a related STEM field.
• Research experience in embodied AI, robotics, AI models, multimodal, computer vision, demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals.
• Hands-on experience with Python and a modern deep learning framework.

Other Requirements

• Ability to physically work from Microsoft Research Asia – Tokyo (Japan) for the duration of the internship.
• Must obtain permission from your academic advisor and commit to at least three months of internship.

Preferred/Additional Qualifications

• Published work in the broader field of AI.
• Practical experience with handling data and robot learning.
• Good engineering skills, including familiarity with Git, docker, and code reviews.
• Familiarity with computer vision including AI and/or robot learning.
• Effective communication skills, especially scientific writing.
• Desire to tackle real-world problems and contribute to projects with scope larger than a typical academic publication.
• Control theory knowledge is a plus, but not required.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.