| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 67 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k 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.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Scientist on the Business and Industry Solutions team, you will lead the design and implementation of autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. Your day-to-day responsibilities include developing advanced model fine-tuning pipelines using techniques like reinforcement learning from human feedback (RLHF) to align AI systems with user intent. You will collaborate across engineering, product, and partner teams to ensure the robustness and reliability of these agents while applying prompt engineering and context-aware orchestration to integrate large language models with external tools and APIs. This role requires expertise in natural language processing, large language model development, and fine-tuning techniques, as well as a strong foundation in reinforcement learning and multi-step reasoning capabilities.

Skills

Python TensorFlow PyTorch ReinforcementLearning NaturalLanguageProcessing LargeLanguageModels FineTuning RLHF PromptEngineering APIIntegration CausalInference ExperimentationFrameworks Kubernetes AWS CI/CD

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 complex end-to-end projects involving cross-functional collaboration.
Ability to develop measurement systems and experimentation frameworks for dynamic AI environments.
Bachelor's degree plus 4+ years of related experience or equivalent.

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