| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
69 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.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Senior Research Engineer at Microsoft, you will join the Business & Industry Copilot (BIC) group to integrate cutting-edge AI into products and services, focusing on inclusive, ethical solutions. Your daily tasks include designing and implementing AI systems using foundation models, fine-tuning large language models, and building production-ready services with robust software engineering practices. You will also drive original research, publish insights, and ensure responsible AI by embedding fairness and privacy from the ground up. Key responsibilities involve end-to-end system development, data-driven innovation, and collaboration with cross-functional teams to deliver high-impact features. Required skills include proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, experience deploying fine-tuned LLMs in production, and familiarity with Microsoft’s LLMOps stack.

What you'll do

  • Design and implement AI systems using foundation models, prompt engineering, and multi-agent architectures.
  • Fine-tune large language models on domain-specific data and evaluate their performance through A/B testing and telemetry.
  • Build production-ready services from prototypes using robust software engineering and MLOps practices.
  • Identify and resolve model quality gaps, latency issues, and scale bottlenecks in AI systems.
  • Develop proofs of concept that validate ideas quickly at realistic scales with high-signal datasets.

What we're looking for

  • Proficiency in Python and at least one deep learning framework (PyTorch, JAX, TensorFlow).
  • Experience deploying fine-tuned LLMs or multimodal models in live production environments.
  • Experience shipping and maintaining production AI systems.
  • Bachelor’s degree in a relevant field plus 1+ years of applied ML or AI research and product engineering.
  • Familiarity with responsible AI evaluation frameworks and bias mitigation methods.
  • Experience across the product lifecycle from ideation to shipping.

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