| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$100,600–$199,000 / yr
Posted
52 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $150k
$85k most similar roles pay here $251k

This role pays less than 84% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $150k 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 Research Engineer II in the Power Platform Managed Transformation Team, you will collaborate with experts to drive innovation in AI agents and Copilot scenarios, enabling organizations to adopt scalable AI solutions. Your day-to-day responsibilities include conducting applied research to develop innovative machine learning models, leading their lifecycle from prototyping to deployment, and creating novel training algorithms for language models. You will also document best practices and mentor team members while staying updated on the latest advancements in AI and applying them to solve complex business problems. The role requires proficiency in languages such as Python, C++, Java, or JavaScript, and experience with large language modeling is preferred. This position offers an opportunity to work in a dynamic environment where you can contribute to cutting-edge technologies and enterprise-scale AI adoption.

What you'll do

  • Conduct applied research to develop innovative AI and ML models for real-world challenges.
  • Lead full lifecycle of ML models, from prototyping to deployment and monitoring.
  • Create and adapt novel training algorithms for language models.
  • Document and share best practices across the organization.
  • Stay updated with latest advancements in AI/ML and apply new techniques.

What we're looking for

  • Bachelor's in Computer Science or related field with 2+ years of technical engineering experience.
  • Master's in Computer Science or related field with 1+ year of hands-on AI/LLM experience.
  • Experience leading end-to-end lifecycle of machine learning models from prototyping to deployment.
  • Hands-on experience with Python, TypeScript, C#, and other relevant programming languages.
  • Ability to conduct applied research and develop innovative AI solutions for real-world challenges.
  • Document and share best practices across the organization.

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