| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
50 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

As a Principal Applied AI Scientist for Microsoft’s Customer Service Applications Team, you will lead the integration of advanced AI technologies into Microsoft products, focusing on inclusivity, ethics, and impact. Your daily responsibilities include collaborating with product and engineering teams to develop cutting-edge AI solutions using techniques such as foundation models, prompt engineering, and multi-agent architectures. You will prototype these solutions, deploy them in production, and measure their effectiveness through A/B testing and telemetry. Preferred qualifications include experience with modern LLMOps frameworks like LangChain and PromptFlow, along with a track record of publishing research and patents. This role demands expertise in machine learning, data science, and AI to address complex business challenges on a large scale, driving innovation and customer satisfaction within Microsoft’s expansive ecosystem.

What you'll do

  • Research, implement, and fine-tune state-of-the-art AI models using advanced techniques.
  • Rapidly prototype AI solutions and deploy them to production environments.
  • Translate research into production-ready solutions and measure impact through A/B testing.
  • Identify gaps in AI quality using data analysis and implement proof-of-concept projects.
  • Maintain clear documentation of experiments and share findings internally for knowledge sharing.

What we're looking for

  • Extensive experience (3+) publishing in peer-reviewed venues or filing patents.
  • Proven track record (3+) conducting research in academic or industry settings.
  • Hands-on experience developing and deploying live production systems.
  • Expertise in researching, implementing, and fine-tuning state-of-the-art AI models.
  • Familiarity with modern LLMOps frameworks like LangChain and PromptFlow.
  • Deep understanding of generative AI models and machine learning stacks.

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