| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$139,900–$274,800 / yr
Posted
59 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 78% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $207k 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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The Microsoft AI Superintelligence Post Training team seeks a Member of Technical Staff with extensive experience in large-scale model training and data curation to develop advanced language, multimodal, and code-specific models using both proprietary and open-source frameworks. This role involves improving model quality through innovative techniques, managing the entire pipeline from data ingestion to inference, and contributing to cutting-edge research publications. Ideal candidates should have a strong background in Python, ML frameworks like PyTorch, and experience with large-scale distributed training systems. The team focuses on integrating language and multi-modality for Microsoft products such as GitHub Copilot and Visual Studio Code, requiring expertise in foundation models, reinforcement learning, and complex data pipelines. Candidates must demonstrate self-driven problem-solving skills and a track record of impactful research or real-world deployments.

Skills

Python PyTorch Triton LLMs SLMs multimodal data curation large-scale model training distributed training reinforcement learning vision-language integration audio-visual modeling ML frameworks code-specific models Git GitHub Copilot VS Code

What you'll do

  • Perform large-scale model training for LLMs, SLMs, and multimodal models.
  • Curate and synthesize datasets to enhance training outcomes and model quality.
  • Write efficient code and debug complex training jobs in production environments.
  • Develop novel AI solutions integrating language, vision, and code understanding.
  • Manage the full pipeline from data ingestion through evaluation and inference.

What we're looking for

  • Doctorate or equivalent experience in relevant field with extensive research background.
  • 5+ years of coding experience in Python and proficiency with ML frameworks like PyTorch.
  • Proven ability to design, scale, and manage training infrastructure and pipelines.
  • Extensive experience in large-scale model training, including LLMs, SLMs, multimodal models.
  • Strong track record in data curation and synthesis for optimizing training outcomes.

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