| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
USSan Francisco, CANew York, NY
Salary
$100,600–$199,000 / yr
Posted
59 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $150k
$85k most similar roles pay here $251k

This role pays less than 82% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $150k 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

The Microsoft AI Superintelligence (MAIST) Post Training team seeks a Member of Technical Staff to enhance large-scale model training and data curation for both proprietary and open-source frameworks. This role involves developing language, multimodal, and coding models using advanced techniques like continual pre-training and reinforcement learning, alongside fine-tuning approaches to improve model quality and efficiency. Key responsibilities include building high-quality datasets, advancing model training methods, and creating scalable data infrastructure pipelines. The ideal candidate will have expertise in Python, TensorFlow, PyTorch, and experience with large-scale GPU clusters, as well as a strong background in natural language processing, multimodal learning, and software engineering. This team focuses on impactful research and product development within the Microsoft ecosystem, emphasizing practical problem-solving and continuous innovation.

What you'll do

  • Design and evaluate high-quality datasets for training AI models.
  • Apply expertise in pre-training, post-training, and reinforcement learning for model improvement.
  • Develop scalable data infrastructure pipelines for complex dataset management.
  • Analyze multimodal datasets to assess quality, diversity, and relevance.
  • Build tools for dataset auditing, visualization, and versioning to streamline workflows.
  • Collaborate on research projects to deliver impactful AI models.

What we're looking for

  • Significant experience in large-scale model training and data curation.
  • Proficiency in developing AI technologies integrating language and multimodal capabilities.
  • Expertise in fine-tuning approaches for both research and product development.
  • Strong background in designing and evaluating high-quality datasets and benchmarks.
  • Ability to develop scalable pipelines for complex dataset ingestion and preprocessing.
  • Track record of advancing model training through pre-training, post-training, and RL.
  • Experience with lightweight tools for dataset auditing, visualization, and versioning.

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