| Microsoft Careers

Microsoft

Closes tomorrow

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 178 days ago
Closes: Jun 7, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 54% of similar roles. Most pay $152,150–$208,800 — 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As an AI Data & Training Technical Staff joining the Microsoft AI Superintelligence Post-Training team, you will play a pivotal role in advancing large-scale AI by designing high-quality datasets, evaluating their impact through ablation studies, and developing scalable data pipelines. Your day-to-day responsibilities include applying deep expertise in pre-training, post-training, and reinforcement learning for both language and multimodal models, as well as creating lightweight tools for dataset auditing and visualization. You will work with extensive GPU resources to curate and synthesize training data, fine-tune models, and drive experiments that enhance the performance of cutting-edge AI systems used across Microsoft products like GitHub Copilot and Visual Studio Code. The team leverages Python, modern data libraries, distributed data frameworks, and cloud ecosystems to tackle complex challenges in a startup-like environment focused on practical problem-solving and continuous learning.

Skills

Python Pandas NumPy Spark Ray Apache_Beam Azure PostgreSQL Kubernetes Docker CI/CD Git Jupyter_Notebook TensorFlow PyTorch Hugging_Face GitHub Visual_Studio_Code Prometheus Grafana

What you'll do

Design and evaluate high-quality datasets for training AI models.
Advance model training through expertise in pre-training, post-training, and reinforcement learning.
Develop scalable data pipelines for large, complex datasets.
Assess real-world multimodal datasets for quality, diversity, and relevance.
Build tools for dataset auditing, visualization, and versioning to streamline experimentation.

What we're looking for

Doctorate in a relevant field or equivalent experience.
Strong software engineering skills with fluency in Python and modern data libraries.
Experience with distributed data frameworks like Spark, Ray, and cloud ecosystems such as Azure.
Hands-on experience with large-scale unstructured datasets including images, video, audio, and code.
Proven ability to train AI models at significant scale.
Demonstrated proficiency in developing scalable data pipelines for complex datasets.
Effective collaboration within interdisciplinary teams and clear communication of research concepts.

| Microsoft Careers

Microsoft

US 42 days ago $165,600–$296,400

Python SQL Azure Kubernetes Terraform GitHub JIRA PowerBI Metricbeat Elasticsearch Kibana CI/CD Prometheus Grafana JSON YAML Markdown Swagger REST_API SOAP_API

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