Microsoft Research Intern - Machine Learning 

United States, Washington 

792101375

• Currently enrolled in a PhD program in Computer Science (machine learning, deep learning) 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.

• Experience in working on research problems related to 1 of the following:
  • Power distribution and grid modelling
  • Modeling and optimization of industrial processes
  • Generative design of 3D structures
  • Multi-agent modeling for decision making
  • or similar areas
• A proficient foundation in mathematics and physics, and background knowledge in related fields.
• Experience with deep generative modelling, and deep learning architectures.
• Skills in algorithmic problem-solving and software development (C++, Python, C#, etc.), proficient in using deep learning libraries such as PyTorch.
• Diligence, initiative, and excellent organizational and communication skills.
• Publications in top-tier conferences or journals in machine learning or related scientific fields.

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

Research Interns will participate in AI projects for process optimization, supply chain modeling, industrial engineering, design and implement advanced models and algorithms, and collaborate with researchers across geographies (if applicable). Research Interns will work with their mentor and group to address an industrial problem with machine learning (ML). Examples could be:

• Power distribution and grid modelling.
• Modeling and optimization of industrial processes.
• Generative design of 3D structures.
• Multi-agent modeling for decision making.