| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
51 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.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Senior Research Engineer at Microsoft within the Experience + Devices (E+D) organization, you will lead the integration of cutting-edge AI into Microsoft products, focusing on inclusive, ethical, and impactful solutions. Your daily tasks include designing and implementing AI systems using foundation models, fine-tuning large language models for domain-specific data, and building production-ready services with robust software engineering practices. You will drive original research, convert insights into shipped capabilities, and ensure responsible AI by embedding fairness, safety, privacy, and performance from the ground up. Key technologies include PyTorch or TensorFlow, Azure AI Foundry, and Semantic Kernel. Ideal candidates have a PhD in AI/ML or related field with top-venue publications, experience deploying fine-tuned LLMs in production, and proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.

What you'll do

  • Design and implement AI systems using foundation models and multi-agent architectures.
  • Fine-tune large language models on domain-specific data for evaluation via A/B testing.
  • Build robust software engineering practices to harden prototypes into production services.
  • Drive original research, converting insights into shipped capabilities through MLOps workflows.
  • Identify and mitigate risks related to fairness, privacy, safety, and security in AI systems.

What we're looking for

  • Bachelor’s degree in a relevant field with 4+ years of applied ML/AI experience, or higher degrees with fewer years.
  • Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.
  • Experience deploying fine-tuned LLMs or multimodal models in live production environments.
  • Strong background in large-scale training and optimization of inference speed for AI systems.
  • Familiarity with Microsoft’s LLMOps stack including Azure AI Foundry and Semantic Kernel.
  • Track record of driving end-to-end system development from design to deployment.

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