At Microsoft AI, we are on a mission to train the world's most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
Requirements
- coding in languages including, but not limited to, C, C , C, Java, JavaScript, or Python
- Demonstrated experience in large-scale AI.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
Responsibilities
- Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations
- Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack
- Collaborate closely with teams on infrastructure, data, post-training, and multimodality
Other
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making
- Have experience and/or in-depth understandings about large-scale distributed systems
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment
- Embody our culture and values.
- Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
