| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
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.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Microsoft AI’s Growth team is seeking a seasoned Machine Learning Engineer to drive innovation in their personal AI assistant, Copilot. This role involves designing and deploying high-performance recommendation systems and personalized feeds, leveraging large language models for scalable solutions that enhance user engagement and retention. Engineers will conduct data-driven experiments using A/B testing and advanced analytics to refine algorithms, optimize infrastructure for real-time decision-making, and collaborate across functions including engineering, product management, and design. Ideal candidates possess strong Python coding skills alongside experience with ML frameworks like PyTorch or TensorFlow, familiarity with cloud platforms such as Azure or AWS, and a track record of building production-ready machine learning models to solve dynamic AI challenges in growth engineering contexts.

What you'll do

  • Develop and deploy machine learning models for high-performance recommendation systems and personalized feeds.
  • Leverage large language models (LLMs) to create scalable intelligent solutions for content understanding and user engagement.
  • Drive data-driven experimentation using A/B testing and advanced analytics to identify growth opportunities.
  • Optimize infrastructure pipelines and tools to support real-time decision-making and predictive analytics.
  • Mentor team members and foster collaboration within cross-functional teams, including engineers and product managers.

What we're looking for

  • 4+ years of experience in machine learning or related technical field.
  • Expertise in Python and ML frameworks like PyTorch or TensorFlow.
  • Experience building and deploying ML models in production environments.
  • Familiarity with data processing tools (Spark, Pandas) and cloud platforms.
  • Strong background in recommendation systems and personalization strategies.
  • Hands-on experience with large language models for AI applications.
  • Excellent problem-solving skills and ability to influence diverse audiences.

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