| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
55 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.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

The Core Search and AI team at Bing is seeking a Senior Applied Scientist to join their mission of building the next generation of search using advanced AI technologies, particularly large language models, on a massive scale. This role involves mastering subareas such as retrieval, ranking, and relevance systems, developing deep knowledge in service platforms, and identifying product opportunities through emerging trends. The candidate will collaborate with diverse teams including engineers, scientists, and program managers to integrate cutting-edge research into practical solutions for Microsoft products like Office and Azure. Key responsibilities include advancing LLM post-training techniques, architecting RAG pipelines, translating research into production, and driving scientific rigor through hypothesis-driven experimentation. Preferred qualifications include 5+ years of coding experience in Python or C++, and 3+ years applying machine learning techniques to solve complex business problems.

What you'll do

  • Develop deep knowledge of search services and identify product opportunities through emerging trends.
  • Design and implement novel methods to improve large language models' reasoning quality and safety.
  • Build and optimize retrieval, ranking, and relevance systems for next-generation search capabilities.
  • Architect RAG pipelines to enhance retrieval fidelity and reduce hallucinations in production environments.
  • Translate research into production by running experiments, analyzing results, and collaborating with engineering teams.

What we're looking for

  • Extensive experience (5+ years) with programming languages such as Python, C++, C#, C, and Java.
  • Solid background in machine learning techniques and their application in industry settings.
  • Expertise in developing deep knowledge of services, platforms, or domains to identify product opportunities.
  • Proficiency in designing, implementing, and evaluating methods that enhance large language model performance.
  • Experience in architecting RAG pipelines to improve retrieval fidelity and reduce hallucinations.

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