| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
77 days ago
Closes
Sep 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $207k
$120k most similar roles pay here $291k

This role pays more than 63% of similar roles. Most pay $177,250–$208,800 — the shaded band above. At the midpoint, this role pays about $207k versus about $193k for comparable roles.

Based on 240 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 1589 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1415 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Join the Bing multimedia Relevance Team as a machine learning scientist/engineer, where you will develop advanced search technology to deliver the best images and videos for users globally. This role involves analyzing large-scale data, defining metrics for relevance and user engagement, designing ML models, and collaborating with scientists and engineers to deploy these systems in production. You’ll work on cutting-edge technologies like deep learning, natural language processing, and big data mining to enhance search quality and impact millions of users. Ideal candidates have a strong background in machine learning, coding skills, and experience in open-source or Microsoft internal tech stacks such as Spark, Hadoop, and Azure. This fast-paced environment offers opportunities for innovation and direct user impact.

What you'll do

  • Analyze large-scale crawled data and user engagement metrics to define search relevance issues.
  • Design and train machine learning models for ranking images and videos in multimedia searches.
  • Define project lifecycle and drive iterative releases of ranker improvements.
  • Collect diverse datasets necessary for training advanced ML systems.
  • Understand and integrate search stack and platform to deploy models in production.
  • Apply research concepts innovatively to solve complex technical challenges.

What we're looking for

  • Solid machine learning background with experience in computer vision, natural language processing, and deep learning.
  • Excellent coding skills for designing and training ML systems and model architectures.
  • MS or higher degree in computer science or a related field.
  • Experience in open-source technologies like Spark, Hadoop, or Microsoft internal tech such as Cosmos, Autopilot, Azure.
  • Strong problem-solving and technical skills to apply research concepts innovatively.
  • Good communication and collaboration skills for working with diverse teams.

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