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Microsoft Research Intern - AI Domains 
United States, Washington 
980047859

Yesterday

Some of the topics of interest covering research areas in AID are:

  • Generative AI, including domain adaptation, modular AI, retrieval-augmented generation, and scalable and distributed machine learning.
  • Synthetic data.
  • Reinforcement learning techniques for model training, improved reasoning, and alignment.
  • Privacy, security, and reliability in AI.
  • Agents and agentic workflows.

We encourage all PhD students with relevant technical background in any of these topics to apply as soon as possible, as we will start interviewing immediately.

Required Qualifications
  • Currently enrolled in a PhD program in Computer Science or a related STEM field.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
Preferred Qualifications
  • Research experience in the areas of domain adaptation, scalable machine learning, privacy and security, machine learning, distributed computing, natural language processing, computer vision and related areas.
  • Hands-on development experience with Python and ML frameworks such as pytorch.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: