| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $84,200–$165,200 / yr
Posted: 53 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $125k

$66k most similar roles pay here $253k

This role pays less than 95% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $125k 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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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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Join our cutting-edge team as an experienced software engineer specializing in the fine-tuning of advanced AI models like GPT-4.1 and beyond, working closely with Azure’s state-of-the-art infrastructure. Your daily tasks will include implementing supervised fine-tuning techniques, experimenting with reinforcement learning methods such as DPO, and optimizing model performance to meet stringent reliability standards. You’ll collaborate on developing custom solutions for large-scale enterprise clients by refining training code and debugging complex issues. Ideal candidates possess a strong background in computer science or related fields, along with hands-on experience in languages like Python, Java, or C++. Familiarity with modern AI tools such as GitHub Copilot, Azure AI Studio, and LLM tools is essential for efficient prototyping, testing, and code validation.

Skills

Python GitHub Copilot Visual Studio VSCode Azure AI Studio C C++ C# Java JavaScript Machine Learning Systems Data Pipelines CI/CD

What you'll do

- Fine-tune advanced AI models like GPT-4.1 and future versions using supervised fine-tuning techniques.
- Experiment with reinforcement learning methods such as DPO to enhance model performance and reliability.
- Optimize custom AI models for critical workloads at leading companies, ensuring high performance and security.
- Debug complex behaviors in training code to improve the effectiveness of cutting-edge AI models.
- Apply advanced optimization strategies that directly impact product quality and customer requirements.

What we're looking for

1+ year of technical engineering experience in coding languages like C, C++, Java, Python
Bachelor's degree in Computer Science or related technical field
Proficiency with modern AI-assisted engineering tools such as GitHub Copilot and Azure AI Studio
Practical knowledge and usage of machine learning systems and data pipelines
Experience with fine-tuning advanced AI models using supervised methods and reinforcement learning techniques

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