| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Posted
52 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Research Intern at the forefront of AI development, you will join a dedicated team focused on enhancing the reliability and trustworthiness of AI systems used in enterprise decision-making. Your primary responsibility involves investigating how large language models (LLMs) handle incomplete information and developing methods to detect and mitigate these issues for more robust system responses. Day-to-day tasks include conducting research, analyzing data, and contributing to publications that advance the field of responsible AI. The ideal candidate possesses a PhD background in computer science, machine learning, statistics, or human-computer interaction, with proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. Additionally, familiarity with large language models and retrieval-augmented generation (RAG) is highly valued, along with strong communication skills for documenting findings and presenting research at leading conferences.

Skills

Python TensorFlow PyTorch Scikit-learn Pandas NumPy Jupyter Git GitHub CI/CD

What you'll do

  • Analyze behavior of large language models with incomplete information.
  • Develop methods to detect gaps in data availability for LLMs.
  • Adapt system responses based on uncertainty awareness techniques.
  • Enhance the robustness and trustworthiness of AI decision-making systems.
  • Contribute to research aimed at improving reliability in enterprise AI.

What we're looking for

  • Currently enrolled in a PhD program in computer science, machine learning, statistics, human-computer interaction, or related field.
  • Proficiency in Python with experience using ML and data processing libraries.
  • Experience with large language models and retrieval-augmented generation (RAG) approaches.
  • Prior research experience in machine learning, NLP, or human-centered AI, evidenced by publications or projects.
  • Strong written and verbal communication skills for presenting research findings.
  • Interest in AI reliability, robustness, safety, and responsible AI research.

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