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Research Sciences Intern (VISION)

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Microsoft

Dec 20, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • Berlin

Requirements

  • 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.
  • 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.

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.

FAQs

What is the role of a Research Sciences Intern at Microsoft?

The Research Sciences Intern will conduct research in areas such as Large Language Models (LLMs), Vision-Language Models (VLMs), and Generative Image & Video, collaborating with experienced researchers and engineers to tackle real-world challenges in AI technologies.

What qualifications are required for this internship?

Candidates must be currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong background in LLMs, VLMs, or Generative Image & Video, proficiency in Python, and experience with machine learning frameworks like TensorFlow or PyTorch.

Are there any preferred qualifications for applicants?

Yes, preferred qualifications include a strong track record of success evidenced by publications in prestigious conferences, proven software engineering capabilities, and experience in professional roles, internships, open-source contributions, or coding competitions.

What will the intern be doing on a day-to-day basis?

The intern will conduct research, design and implement experiments, develop and optimize algorithms and models, collaborate with team members, and present research findings, contributing to potential publications and patents.

Is prior experience in a professional setting required for this internship?

While not strictly required, prior professional experience, internships, impactful open-source contributions, or success in coding competitions are preferred and considered advantageous.

Will the intern have opportunities for publishing research?

Yes, the intern will have the opportunity to present research findings to the team and contribute to publications and patents.

What programming skills are necessary for this role?

Proficiency in programming languages such as Python is required, along with experience in machine learning frameworks and libraries like TensorFlow and PyTorch.

What type of support does Microsoft provide for applicants with disabilities?

Microsoft offers reasonable accommodations for individuals with disabilities throughout the application process. Assistance can be requested if needed.

Does the internship provide the opportunity to work in a team environment?

Yes, the internship involves collaboration with team members, allowing the intern to work both independently and as part of a research team.

Does Microsoft have a commitment to diversity and equal opportunity?

Yes, Microsoft is an equal opportunity employer and considers all qualified applicants without discrimination based on various characteristics protected by law.

Technology
Industry
10,001+
Employees
1975
Founded Year

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