Researcher Intern

Microsoft

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Quick summary

Work type
On-site
Location
Redmond, WAMountain View, CA
Employment
Intern
Posted
12 days ago
Freshness
Confirmed live today
Closes
Apr 13, 2027
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $198k
$138k $266k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,550–$241,750.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Researcher Intern

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The Researcher Intern, CoreAI joins the team to contribute to projects focused on the future of AI for developers. This role involves staying current with research literature and product advances specifically within the area of AI for software engineering. The intern will build and manage large-scale ML experiments and models to solve technical problems in this domain. Required skills include at least one year of experience in Calculus, Probability, and Statistics, as well as experience in Machine Learning. Candidates must possess proficiency in general purpose programming languages such as C/C++, Java, R, or Python, along with domain relevant libraries like PyTorch. Core competencies include knowledge of Natural Language Understanding, Neural Networks, Computer Vision, Deep Learning, Algorithmic Foundations of Optimization, Data Science, and Privacy.

Skills

Machine Learning Python PyTorch C++ Java R Deep Learning Neural Networks Natural Language Understanding Computer Vision Data Science Calculus Probability Statistics

What you'll do

  • Contribute to projects focused on the future of AI for developers.
  • Stay updated on research literature and product advances in AI for software engineering.
  • Build and manage large-scale machine learning experiments.
  • Develop and manage large-scale machine learning models.
  • Apply knowledge of Calculus, Probability, and Statistics to technical tasks.
  • Write code using languages like C/C++, Java, R, or Python.
  • Utilize domain-relevant libraries and frameworks such as PyTorch.
  • Implement techniques in areas like Natural Language Understanding or Neural Networks.

What we're looking for

  • Must be currently enrolled in a Doctorate Degree program in a relevant field.
  • Must have at least one additional quarter/semester of a Doctorate Degree program remaining after the internship.
  • 1+ year(s) experience in Calculus, Probability and Statistics and/or Machine Learning.
  • 1+ year(s) experience in one or more general purpose programming languages including C/C++, Java, R, or Python.
  • 1+ year(s) experience in domain relevant libraries and frameworks such as PyTorch.
  • 1+ year(s) experience in areas such as Natural Language Understanding, Neural Networks, Computer Vision, or Machine Learning.

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