Member of Technical Staff - Data Infra - MAI Superintelligence Team

Microsoft
San Francisco Bay area / New York City metropolitan area2025-12-02onsite

About the job

Help build the world’s most advanced multimodal dataset at Microsoft AI. We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra.

Responsibilities

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).

Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.

Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.

Embody our culture and values.

Qualifications

Minimum

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Preferred

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience OR equivalent experience.