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Published Date

Career Opportunity

Member of Technical Staff – Pre Training – MAI Superintelligence Team

Posted: December 4, 2025

Location: Mountain View, CA, US; New York, NY, US; Redmond, WA, US

Research Area(s): Artificial intelligence, Data platforms and analytics, Programming languages and software engineering

The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. We are looking for outstanding individuals excited about contributing to the next generation of systems that will…

Publication

New Future of Work Report 2025

Jenna Butler, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Jake Hofman, Brent Hecht, Sean Rintel, Bahar Sarrafzadeh, Abigail Sellen, Mihaela Vorvoreanu, Jaime Teevan, Mohammed Alsobay, Liz Ankrah, Stephanie Beers, Megan Benzing, Mia Bruch, Zana Buçinca, Mar Carpanelli, Amelia Cole, Scott Counts, Madeleine Daepp, Justin Edwards, Alex Farach, Daniel G. Goldstein, Mary L. Gray, Javier Hernandez, Eric Horvitz, Nicole Immorlica, Kori Inkpen, Shamsi Iqbal, Manasa Jagadeesh, Siân Lindley, Brendan Lucier, Mercy Muchai, Ambrita Nand, Alexandra Olteanu, Jacki O'Neill, Max Peterschmidt, Christian Poelitz, Rabeeza, Nathalie Henry Riche, Advait Sarkar, Sunayana Sitaram, Amanda Snellinger, Jina Suh, John Tang, Lev Tankelevitch, Kiran Tomlinson, Anne Trapasso, Adam D. Troy, Gaurav Verma, Jack Williams, Ben Zorn, Jordana Young

MSR-TR-2025-58 | December 2025

Published by Microsoft

Publication

VeruSAGE: A Study of Agent-Based Verification for Rust Systems

Chenyuan Yang, Natalie Neamtu, Chris Hawblitzel, Jay Lorch, Shan Lu

December 2025

Github Project

Publication

Syntactic Implicit Parameters with Static Overloading (Extended Version)

Daan Leijen, Tim Whiting

MSR-TR-2025-56 | November 2025

Published by Microsoft

v6 (2026-04-23)

Project

GitHub Agentic Workflows

Write natural language workflows (AI-powered automation that can make decisions) that understand context, make decisions, and take meaningful actions across your repositories. Write agentic workflows in natural language markdown, and run them safely in GitHub…

Publication