| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
66 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $209k
$101k most similar roles pay here $293k

This role pays more than 95% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $209k 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

The Machine Learning Engineer position at Microsoft AI’s Search team targets a senior-level professional to drive innovation in Visual Search through advanced AI solutions. The role involves optimizing user engagement and personalization by deploying high-performance ranking and recommendation systems, leveraging large language models for scalable content understanding, and conducting data-driven experiments to refine algorithms. Key responsibilities include developing robust infrastructure for real-time decision-making and predictive analytics, mentoring team members, and fostering cross-functional collaboration with engineers, product managers, and designers. Ideal candidates should have 3+ years of experience in building ML models in production environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, familiarity with data processing tools such as Spark and Pandas, and hands-on experience with distributed computing frameworks.

What you'll do

  • Optimize and deploy machine learning models for high-performance ranking and recommendation systems.
  • Leverage large language models to create scalable solutions for content understanding and user engagement.
  • Drive data-driven experimentation using A/B testing and statistical techniques to refine algorithms.
  • Develop and optimize infrastructure for real-time decision-making and predictive analytics.
  • Mentor team members and foster collaboration within cross-functional teams.
  • Stay informed on emerging AI trends to drive innovation in product offerings.

What we're looking for

  • 3+ years of experience building and deploying ML models in production environments.
  • Strong coding skills in Python and proficiency with ML frameworks like PyTorch or TensorFlow.
  • Experience using large language models (LLMs) for AI applications.
  • Hands-on expertise in recommendation, classification, and personalization systems.
  • Familiarity with data processing tools such as Spark and Pandas, and cloud platforms like Azure or AWS.
  • Expertise in optimizing system performance, availability, and scalability.

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