| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
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 a Senior Applied Scientist on the MSAI Search Relevance team, you will lead high-impact projects that enhance Copilot Chat and Search experiences by applying cutting-edge techniques such as dense retrieval, hybrid search, and RAG architectures. Your day-to-day involves identifying gaps in search quality, formulating hypotheses, and delivering scalable solutions while mentoring a team of applied scientists to ensure scientific rigor and career development. You will innovate with state-of-the-art machine learning and NLP methods to improve retrieval, ranking, and query understanding at enterprise scale, adapting vector search algorithms for semantic retrieval and fine-tuning large language models. Preferred qualifications include extensive experience in applied science projects, data analysis, and deploying production systems in high-scale environments like search or conversational AI.

What you'll do

  • Drive high-impact applied science projects from ideation to implementation in Copilot-driven enterprise search.
  • Mentor and empower a team of applied scientists, guiding their technical direction and career development.
  • Innovate with cutting-edge techniques to enhance retrieval, ranking, and semantic search in Copilot systems.
  • Document and share experimental results and methodologies to promote transparency and innovation within the organization.
  • Translate business goals into clear scientific strategies for high-priority objectives.
  • Collaborate across organizations to ensure alignment and drive progress on product delivery.

What we're looking for

  • 3+ years experience in applied science projects from ideation to production in high-scale environments.
  • Proven track record of data analysis at scale, including working with logs, telemetry, and large datasets.
  • Experience developing and deploying live production systems as part of a product team.
  • Expertise in search and ranking systems, semantic retrieval, and information retrieval at scale.
  • Applied experience with state-of-the-art sparse and dense retrieval and ranking techniques.
  • Familiarity with RAG architectures using LLMs for query rewriting, summarization, and document reranking.

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