| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$139,900–$274,800 / yr
Posted
58 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 78% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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The Scheduling Service team at Microsoft seeks a Principal Applied Scientist to lead the development of advanced scheduling algorithms for their industry-leading platform, focusing on optimizing field service worker routing. This role involves setting technical direction, defining metrics, and driving architecture decisions while collaborating with research teams to bridge theory and practice. The ideal candidate has extensive experience in optimization and machine learning, particularly in vehicle routing problems, and should be proficient in languages such as C++, C#, and possess a background in multi-agent planning and scheduling. With a focus on large-scale production environments, the Principal Applied Scientist will play a crucial role in enhancing operational efficiency and customer satisfaction across Microsoft’s diverse product ecosystem.

Skills

C C++ C# Python Genetic Algorithms Heuristic Scheduling Algorithms Large Neighborhood Search Vehicle Routing Problems Multi-agent Planning and Scheduling Operations Research CI/CD AWS Azure Google Cloud Kubernetes Docker Terraform PostgreSQL MongoDB Prometheus Grafana

What you'll do

  • Define technical direction for scheduling/routing algorithms.
  • Lead architecture decisions to drive cross-team execution in scheduling services.
  • Keep abreast of state-of-the-art approaches, including deep learning models.
  • Design and build innovative scheduling algorithms for production use.
  • Collaborate with research organizations to bridge the gap between theory and practice.

What we're looking for

  • Proven experience in applied optimization and machine learning in production.
  • Extensive background in vehicle routing problems and scheduling optimization algorithms.
  • Demonstrated technical leadership in major initiatives and projects.
  • Expertise in coding with languages such as C, C++, and C#.
  • Experience developing optimization systems combining operations research and machine learning.
  • Knowledge of genetic/heuristic scheduling algorithms and large neighborhood search techniques.

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