| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 66% 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.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Senior Research Engineer in the Business & Industry Copilot (BIC) group at Microsoft, you will lead the integration of cutting-edge AI into Microsoft’s products and services, focusing on inclusive, ethical, and impactful solutions. Your day-to-day responsibilities include designing and implementing AI systems using foundation models, prompt engineering, and multi-agent architectures, as well as fine-tuning large language models for domain-specific applications. You will work with Python and deep learning frameworks like PyTorch or TensorFlow to develop robust, tested modules that integrate seamlessly into CI/CD pipelines. This role requires expertise in applied ML research, product engineering, and a commitment to responsible AI practices, ensuring fairness, safety, privacy, and performance across all systems.

Skills

Python PyTorch TensorFlow JAX Kubernetes Docker CI/CD A/B testing Prometheus Grafana PostgreSQL AWS Azure MLOps Responsible AI Ethical AI Multimodal Systems Foundation Models Prompt Engineering Retrieval-Augmented Generation Multi-Agent Architectures

What you'll do

Design and implement AI systems using foundation models and prompt engineering.
Fine-tune large language models on domain-specific data for evaluation.
Drive systems-level innovation across models, infrastructure, and deployment processes.
Embed responsible AI principles to ensure fairness, safety, privacy, and performance.
Adapt the latest research into robust, tested, maintainable modules and integrate with CI/CD.

What we're looking for

Extensive experience in applied machine learning and AI research.
Proficiency in designing and implementing end-to-end AI systems using foundation models.
Strong background in fine-tuning large language models on domain-specific data.
Experience with responsible AI practices, including fairness, safety, privacy, and performance.
Expertise in Python and at least one deep learning framework like PyTorch or TensorFlow.

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