| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
64 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k 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

As a Principal Applied Science Manager – Search & Applied AI at Viva Engage, you will lead a team of scientists and engineers to develop cutting-edge search and ranking systems using large-scale machine learning and Large Language Models. Your daily responsibilities include defining and executing strategies for enhancing search relevance and personalization, developing end-to-end applied science systems, and partnering with product and engineering teams to deliver scalable solutions that improve user engagement. You will leverage technologies such as embeddings, LLM integration, and evaluation frameworks while ensuring high-quality production systems that balance model sophistication with engineering constraints like latency and cost. This role requires deep expertise in search relevance, ranking systems, semantic retrieval, and experience with cloud environments like Azure, making it ideal for those who want to drive significant impact on a large user base.

What you'll do

  • Lead a team of Applied Scientists and Machine Learning Engineers focused on search and AI-driven discovery.
  • Define and execute the vision for next-generation search experiences using semantic retrieval, embeddings, and LLMs.
  • Develop end-to-end applied science systems including ranking models, evaluation frameworks, and A/B testing.
  • Ensure scientific rigor in offline evaluations and online experimentation to drive metrics-based decision-making.
  • Partner with product and engineering teams to translate complex problems into scalable production solutions.

What we're looking for

  • Deep experience in search relevance, ranking systems, semantic retrieval, or recommendation systems at scale.
  • 5+ years of people management experience leading applied science or ML-focused teams.
  • Experience with Large Language Models (LLMs), prompt/agent orchestration, and AI-powered product experiences.
  • Proven ability to build evaluation frameworks and experimentation systems for ML/AI products.
  • Engineering background in deploying distributed systems or ML pipelines in cloud environments.

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