| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WACANY
Salary
$119,800–$234,700 / yr
Posted
56 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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At a glance

TL;DR · | Microsoft Careers

As a Principal Software Engineer on the CoreAI Speech Group’s technology team, you will lead the development of cutting-edge speech modeling technologies that impact millions of users. Your day-to-day responsibilities include driving large-scale production model training framework development to support the latest technologies and improve throughput, optimizing model inference for reduced cost and latency, and collaborating with runtime engineering and modeling teams to enhance agility and productivity. The role requires expertise in deep learning, signal processing, and statistical modeling, along with extensive experience in developing and deploying live production systems and conducting research in academic or industry settings. Ideal candidates will have a Master's Degree or higher in fields such as Computer Science, Electrical Engineering, or related disciplines, complemented by years of relevant professional experience.

What you'll do

  • Drive large scale production model training framework development to support latest technologies.
  • Improve throughput in speech technology production models.
  • Optimize model inference and integrate systems to reduce cost and latency.
  • Enhance agility and productivity by collaborating with runtime engineering teams.
  • Conduct research on speech modeling technologies for real-world applications.

What we're looking for

  • At least 5 years of experience developing and deploying live production systems.
  • Experience in driving large-scale model training framework development.
  • Proficiency in optimizing model inference for cost reduction and latency improvement.
  • Master's degree or higher in a relevant field with significant related work experience.
  • Strong collaboration skills, working effectively with runtime engineering and modeling teams.
  • 5+ years of product cycle experience from ideation to shipping.

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