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Applied Sciences Intern

England, United Kingdom (On-site)

Applied Sciences Intern

51 Minutes ago • Upto 1 Years • Artificial Intelligence • Undisclosed

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

computer-vision

python

pytorch

Job Description

The Applied Sciences Group (ASG) at Microsoft is seeking a highly motivated PhD student for a research internship. The intern will contribute to cutting-edge research in Large Language Models (LLMs), Vision-Language Models (VLMs), LLM/VLM-based agents, and Generative Image & Video. Responsibilities include conducting research, designing and implementing experiments, developing and optimizing algorithms, collaborating with the team, and presenting research findings. The ideal candidate will have a strong background in LLMs, VLMs, or Generative Image & Video, proficiency in Python, experience with machine learning frameworks (TensorFlow, PyTorch), excellent problem-solving skills, and strong communication abilities. The internship is located in London, UK.

Must have:

PhD in relevant field
Strong LLM/VLM background
Python proficiency
ML framework experience
Excellent problem-solving

Good to have:

Publications in top conferences
Software engineering experience
Open-source contributions

Perks:

Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

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.

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.