| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $84,200–$165,200 / yr
Posted: 42 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k

This role $125k

$66k most similar roles pay here $253k

This role pays less than 96% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $125k 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

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As a Software Engineer on the GenAI Infrastructure and Solutions team, you will collaborate with senior engineers and researchers to build and optimize large-scale training infrastructure and tools for various AI models including LLMs, SLMs, multimodal, and code-specific models. Your responsibilities include designing highly scalable and reliable services, contributing to their deployment in production environments, and participating in the continuous improvement of engineering systems and practices within complex cloud infrastructures. The role requires proficiency in languages such as C++, Python, or similar, along with experience in containerization tools like Docker and Kubernetes, familiarity with production ML concepts, and a strong background in distributed systems and DevOps practices. This position is integral to supporting the fine-tuning and inference of large language models at scale for diverse applications across Microsoft’s CoreAI and other groups.

Skills

Python Docker Kubernetes CI/CD DevOps C# C++ Java JavaScript TypeScript Distributed Systems Cloud Infrastructure Model Serving Caching Batching Monitoring

What you'll do

Designs and builds scalable and reliable services for large-scale model fine-tuning.
Optimizes training infrastructure and tools for various AI models including LLMs.
Contributes to the deployment and monitoring of AI services in production environments.
Improves engineering systems and practices to ensure high service quality in cloud environments.
Participates in efforts to enhance DevOps practices for continuous integration and delivery.

What we're looking for

Proven software development experience in C#, C++, Python, or similar languages.
Experience with containerization tools such as Docker and Kubernetes.
Familiarity with production ML systems including model serving and monitoring.
Strong background in distributed systems and cloud-based infrastructure.
Demonstrated proficiency in DevOps practices like CI/CD and automated testing.

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