Member of Technical Staff - Data Infra - MAI Superintelligence Team

Microsoft

Quick summary

Work type
On-site
Location
Mountain View, CA · Redmond, WA
Salary
$163,000–$296,400 / yr
Posted
139 days ago
Closes
Jul 14, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $230k
$125k most similar roles pay here $315k

This role pays more than 87% of similar roles. Most pay $165,000–$214,500 — the shaded band above. At the midpoint, this role pays about $230k versus about $190k for comparable roles.

Based on 240 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 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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At a glance

TL;DR · Member of Technical Staff - Data Infra - MAI Superintelligence Team

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As a Data Engineering IC6 on the AI model training team, you will design and develop robust data pipelines for ingesting vast amounts of multi-modal training data including text, audio, images, and video. Your day-to-day responsibilities include owning and maintaining critical data infrastructures such as Spark and Ray, while also building scalable storage solutions to handle petabytes of data. You will collaborate closely with pretraining and post-training teams to enhance the data recipe through rigorous experimentation, ensuring compliance with data governance standards. This role requires expertise in data engineering, software development, and a deep understanding of data security and compliance. Ideal candidates have extensive experience in designing complex data systems and possess strong skills in Python, SQL, and distributed computing frameworks.

Skills

Spark Ray Vector databases Data pipelines Python CI/CD AWS Kubernetes Docker PostgreSQL MySQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

  • Design and develop data pipelines for multi-modal training data ingestion.
  • Own and maintain critical data infrastructures like Spark, Ray, and vector databases.
  • Build infrastructure capable of storing and processing petabytes of data for models.
  • Improve data recipes through rigorous and careful experimentation with teams.
  • Ensure compliance with data governance, security, and regulatory standards.

What we're looking for

  • Master's degree in a relevant field and 6+ years of experience, or Bachelor's degree and 8+ years of experience in related areas.
  • Design and develop large-scale data pipelines for multi-modal training data ingestion.
  • Maintain critical data infrastructures including Spark, Ray, vector databases, etc.
  • Build infrastructure to store and process petabytes of data for AI models.
  • Experience with data governance, compliance, and security.

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