Member of Technical Staff, AI Multimodal

3 days ago


City Of London, United Kingdom Microsoft Full time

OverviewHelp 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.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. This expectation is subject to local law and may vary by jurisdiction.ResponsibilitiesDevelop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelinesImprove 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 analysisInnovate and iterate over ideas, prototypes, and product.Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedbackAdvance the AI frontier responsiblyEmbody our culture and values.Required QualificationsBachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering workOR Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering workOR equivalent experience.Expertise in multimodal Research with a strong publishing track record #J-18808-Ljbffr


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