| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
47 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

Join the Microsoft Turing Team as a Principal Applied Scientist to drive the development of Microsoft 365 Copilot Chat, focusing on enhancing large language models for enterprise use. You will lead the evolution of the orchestrator system to improve reasoning and response times while supporting new capabilities in multi-modality and agent-based systems. Responsibilities include advancing model training techniques, fine-tuning LLMs with tenant data, and delivering impactful features from concept to production. Key skills required are expertise in deep learning, natural language processing, multimodal models, and optimization techniques, along with experience in shipping internet-scale AI products and a track record of publishing at top conferences like ACL, EMNLP, and SIGKDD.

What you'll do

  • Evolve the orchestrator to enhance reasoning capabilities and support new system functionalities.
  • Advance model training techniques including fine-tuning, reinforcement learning, and data curation.
  • Develop and deliver AI features from concept through production, focusing on evaluation and metrics.
  • Conduct research to improve deep learning, NLP, multimodal models, and optimization techniques.
  • Analyze and report on model performance using predictive analytics and statistical methodologies.

What we're looking for

  • Master's degree in a relevant field with 9+ years of experience or Ph.D. with 6+ years of experience.
  • Extensive experience (4+ years) in end-to-end technical problem-solving and system development.
  • Proven track record (4+ years) in shipping internet-scale AI products with low latency and high throughput.
  • Strong background in customer/metrics-driven design and development for AI solutions.
  • Publications at top conferences such as ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP.

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