| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
56 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 Microsoft 365 Copilot Reasoning Science team within MSAI (Microsoft Search, Assistant, and Intelligence), you will play a pivotal role in advancing “Business Chat,” an innovative product that integrates AI with user data to enhance productivity. Your responsibilities include defining and managing experiments from inception to deployment, creating ML pipelines, and developing tools to streamline workflows. You will also contribute to strategic planning, foster the growth of team members, and collaborate closely with Microsoft Research and other key teams. This role requires expertise in Python, proficiency in LLM prompting, and experience in building large-scale machine learning systems. Ideal candidates are self-starters who excel in fast-paced environments and have a passion for user-centric design and engineering excellence.

What you'll do

  • Defining and managing experiments from inception to shipment, creating metrics and ML pipelines.
  • Influencing senior leadership through quality summaries of work progress and experimentation results.
  • Building custom tools to accelerate workflows when off-the-shelf solutions are insufficient.
  • Contributing to strategic planning and long-term technical roadmaps for business goals.
  • Supporting the growth and development of team members by identifying new research talent.
  • Developing a culture within MSAI that encourages experimentation, scientific process, and innovation.

What we're looking for

  • 3+ years of experience building and maintaining large-scale machine learning systems.
  • Strong proficiency in Python and expertise in Large Language Model (LLM) prompting.
  • Proven ability to manage end-to-end ML projects, from requirements gathering to post-launch iteration.
  • Experience working effectively with multidisciplinary, geographically distributed teams.
  • Thrives in dynamic environments with shifting priorities and evolving project definitions.
  • Demonstrated skill in influencing senior leadership through quality written and oral summaries.

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