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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.
Job Responsibility:
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 culture and values
Requirements:
Bachelor'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 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
Expertise in multimodal Research with a strong publishing track record
Proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects
Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
Experience and/or in-depth understandings about large-scale distributed systems
Ability to work collaboratively in a fast-paced, innovative environment