Research Intern, Algorithms Group, Generative Modeling

Microsoft

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Redmond, WA
Employment
Intern
Posted
7 days ago
Freshness
Confirmed live today
Closes
Apr 17, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $194k
$117k $280k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $132,700–$254,750.

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.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Research Intern, Algorithms Group, Generative Modeling

As a Research Intern in the Algorithms Group: Generative Modeling, you will join a team of doctoral candidates and researchers to put inquiry and theory into practice. During this twelve-week internship, you will collaborate with mentors and peers to contribute to research and development strides while presenting your findings to the community. Your daily work involves training large foundation models, specifically focusing on diffusion models, image auto-regressive models, and large language models. You will utilize the PyTorch framework to solve complex problems in generative modeling. The role requires a strong academic background in Computer Science, Mathematics, or Electrical Engineering, along with a proven track record of publications in top theoretical CS or ML conferences like NeurIPS, ICML, and ICLR to advance the state of the art.

What you'll do

  • Contribute to research and development strides in specific STEM fields.
  • Work alongside mentors to advance research projects.
  • Present research findings to the research community.
  • Train large foundation models including diffusion models and large language models.
  • Utilize frameworks such as PyTorch to execute research tasks.
  • Apply theoretical knowledge to practical research problems.

What we're looking for

  • Currently enrolled in a master's degree program in Computer Science, Mathematics, Electrical Engineering, or a related STEM field.
  • Currently enrolled in a Doctorate Degree program in Computer Science, Mathematics, Electrical Engineering, or a related STEM field.
  • Publications at top theoretical CS or ML conferences (NeurIPS, ICML, ICLR, etc.) or top journals (preferred).
  • Familiarity with frameworks such as PyTorch (preferred).
  • Experience with training large foundation models such as diffusion models, image auto-regressive models, and large language models (preferred).
  • Submit a minimum of two reference letters, a cover letter, and relevant work or research samples.

More like this

Similar roles

Research Intern, Agentic Graph Learning

Microsoft

Redmond, WA 14 days ago
Python Large Language Models retrieval-augmented-generation Graph Machine Learning Computer Vision Statistics Matrix Analysis Probability Machine Learning Graph Theory Computer Science

Research Intern, Algorithms Group: Theory

Microsoft

Redmond, WA 4 days ago
Algorithms Approximate Nearest Neighbor Search Erasure Coding Distributed Storage Large Language Models Theoretical Computer Science Machine Learning STOC FOCS SODA NeurIPS ICML ICLR

Research Intern, AI Interaction and Learning

Microsoft

Redmond, WA +1 11 days ago
Machine Learning Natural Language Processing Reinforcement Learning Foundation Models Artificial Intelligence Human-AI Interaction Computational Social Science User Modeling and Simulation Continual Learning
2+ yrs exp

Research Intern, Agentic Data Memory

Microsoft

Redmond, WA 11 days ago
Natural Language Processing Machine Learning Graph Machine Learning LLM Retrieval-Augmented Generation (RAG) Knowledge Graphs Python PyTorch GPU Clusters Cloud Infrastructure Statistical Analysis Information Retrieval Systems for AI
1+ yrs exp