Applied Sciences Intern

The Applied Sciences Group (ASG) is seeking a highly motivated and talented PhD student to join our team as a Research Intern. This internship offers a unique opportunity to work on cutting-edge research in the fields of Large Language Models (LLMs), Vision-Language Models (VLMs), LLM/VLM based agents, and Generative Image & Video. The successful candidate will collaborate with a team of experienced researchers and engineers to tackle real-world challenges and contribute to the advancement of AI technologies.

Responsibilities

• Conduct research in one or more of the following areas: LLMs, VLMs, and Generative Image & Video.

• Design and implement experiments to test new hypotheses and validate research findings.

• Develop and optimise algorithms and models for various AI applications.

• Collaborate with team members to integrate research outcomes into practical solutions.

• Present research findings to the team and contribute to publications and patents.

Qualifications

Qualifications:

• Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Strong background in LLMs, VLMs, or Generative Image & Video.

• Proficiency in programming languages such as Python.

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills and the ability to present complex ideas clearly.

Preferred Qualifications:

• Strong track record of success, evidenced by publications in prestigious computer vision and machine learning conferences, including NeurIPS, ECCV, ICCV, CVPR.

• Proven software engineering capabilities, evidenced by professional experience, internships, impactful open-source contributions, and success in coding competitions.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.