| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$165,600–$296,400 / yr
Posted
60 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $231k
$99k most similar roles pay here $318k

This role pays more than 99% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $231k 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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As a Principal Product Manager, Foundational Research, you will join a cutting-edge team led by Mustafa Suleyman at Microsoft AI, focusing on advancing the next generation of large language models (LLMs). Your role involves working backward from customer needs to prioritize research initiatives, build evaluation datasets, and develop scalable solutions. You will collaborate closely with AI researchers and infrastructure teams to create data collection pipelines, model prototypes, and innovative features. Key responsibilities include identifying issues in pre-training and post-training processes, creating novel data tasks for model evaluations, and collaborating on infrastructure projects. Ideal candidates have 2+ years of hands-on experience in ML research and engineering, building data pipelines, and shipping evaluation systems. Familiarity with large-scale AI models and a technical postgraduate degree are preferred, as is the ability to engage deeply with end customers to bring products to market.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure GCP CI/CD Git PostgreSQL MongoDB Jupyter GitHub Swagger RESTful_APIs NLP Data_Pipelines Machine_Learning_Pods

What you'll do

  • Identify and prioritize issues in language, coding, and multimodal areas for resolution.
  • Develop novel data collection tasks to evaluate models and gather training data.
  • Create model prototypes to validate new feature directions and scope projects.
  • Build and ship data pipelines or evaluation systems for AI models.
  • Work closely with infrastructure teams on pre-training, post-training, and product feedback.

What we're looking for

  • At least 2 years of hands-on experience collaborating with model researchers and ML engineers.
  • Direct experience building and shipping data pipelines or evaluation systems for AI models.
  • Proven track record of working on pre-training, post-training, and infrastructure aspects of large-scale ML/AI projects.
  • Ability to work backward from customer needs to deliver scalable solutions for developers and enterprise customers.
  • Initiative and enthusiasm for finding paths through complexity in a fast-paced environment.

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