Member of Technical Staff, AI Multimodal
Job Summary
Job Description
This role involves contributing to the development of cutting-edge multimodal AI foundational models at Microsoft AI. Responsibilities include algorithm development, model architecture design, experimentation, measurement, evaluation, dataset innovation, and pipeline improvement. The ideal candidate will possess expertise in multimodal research, a strong publication record, and experience with large-scale distributed systems. The work emphasizes a data-driven approach, collaboration, and responsible AI practices. The team aims to improve training and deployment efficiency and innovate across prototypes and products. Collaboration with infrastructure, data engineering, pre-training, post-training, and product feedback teams is crucial.
Must have:
- Expertise in multimodal research
- Strong publication track record
- Large-scale distributed systems experience
- Algorithm development & model architecture design
- Data-driven approach & meticulous analysis
7 skills required
Job Details
Job Description
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.
Responsibilities
- 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 .
Required Qualifications
- 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
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