Member of Technical Staff, AI - Multimodal

Help deliver one of the best foundational models in the world at Microsoft AI. 

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 Multimodal 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. 

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who: 

• Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or 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. 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 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 experience in business analytics, data science, software development, or data engineering work 

• OR equivalent experience. 

#Copilot #MicrosoftAI

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines 

• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. 

• Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis 

• Innovate and iterate over ideas, prototypes, and product. 

• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 

• Advance the AI frontier responsibly 

• Embody our and .