| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
57 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

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

As an Applied Scientist joining MAI’s cutting-edge team, you will design and refine advanced post-training techniques for large language models (LLMs), enhancing their reasoning, safety, and retrieval capabilities. Your day-to-day involves architecting next-generation search pipelines, developing RAG methodologies, and translating research into production-ready systems that power real user experiences. You’ll work with researchers and engineers to innovate in areas like LLM alignment and next-gen search, requiring expertise in machine learning frameworks, Python, and a deep understanding of AI ethics. This role demands proficiency in large-scale AI systems, experience in presenting at industry conferences, and the ability to drive impactful product innovation across multidisciplinary teams.

What you'll do

  • Design and implement advanced post-training techniques to enhance large language model capabilities.
  • Develop next-generation search pipelines that integrate retrieval, ranking, and relevance systems with LLMs.
  • Refine RAG methodologies to improve retrieval fidelity and reduce hallucinations in production environments.
  • Translate research breakthroughs into scalable, reliable production systems through collaboration with engineering teams.
  • Monitor and evaluate model performance using quantitative metrics and user-centric evaluation frameworks.
  • Advance alignment techniques for large language models to ensure safety and controllability across scales.

What we're looking for

  • Master's degree in Computer Science, Statistics, or a related field with 6+ years of relevant experience.
  • Doctorate in Computer Science, Statistics, or a related field with 3+ years of relevant experience.
  • Experience designing and implementing advanced post-training techniques for large language models.
  • Proficiency in developing next-generation search pipelines and RAG methodologies.
  • Ability to translate research breakthroughs into production-ready systems that enhance user experiences.
  • Strong track record of presenting at industry conferences as an invited speaker.
  • Expertise in monitoring and evaluating model performance using quantitative metrics.

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