Senior Applied Scientist

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
79 days ago
Nearby
93 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 51% of similar roles. Most pay $162,000–$213,931 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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As a Senior Applied Scientist on the Business and Industry Solutions team, you will drive innovation by designing autonomous agents that enhance accuracy, latency, and cost-efficiency through advanced techniques like reinforcement learning. Your day-to-day involves leading rapid experimentation cycles, developing robust evaluation frameworks, and applying fine-tuning methods such as instruction tuning and RLHF to build intelligent agents capable of multi-step reasoning. You will collaborate with engineering, product, and partner teams to ensure the performance, security, reliability, and extensibility of these AI systems. Ideal candidates have expertise in natural language processing, large language model development, and integrating LLMs with external tools and APIs. Familiarity with prompt engineering and context-aware orchestration is essential for this role that focuses on delivering real-world impact at enterprise scale.

Skills

Python TensorFlow PyTorch ReinforcementLearning NaturalLanguageProcessing LargeLanguageModels FineTuning RLHF PromptEngineering Kubernetes Docker CI/CD PostgreSQL AWS GCP Azure

What you'll do

  • Lead design and implementation of advanced model fine-tuning pipelines using RLHF.
  • Develop robust measurement systems for dynamic AI systems and enterprise environments.
  • Own complex end-to-end projects combining technical depth with cross-functional collaboration.
  • Streamline workflows and enhance team productivity through intelligent automation and innovation.
  • Evaluate autonomous agents to deliver measurable improvements in accuracy, latency, and cost-efficiency.

What we're looking for

  • Extensive expertise in natural language processing and large language model development.
  • Hands-on experience with advanced fine-tuning techniques, including instruction tuning and RLHF.
  • Proficiency in prompt/context engineering and integrating LLMs with external tools/APIs.
  • Strong background in designing and implementing robust evaluation frameworks for AI systems.
  • Experience leading end-to-end projects combining technical depth with cross-functional collaboration.
  • Ability to develop measurement systems tailored to dynamic AI environments at enterprise scale.
  • Bachelor's degree plus 4+ years or doctorate plus 1+ year of relevant experience in a related field.

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