Member of Technical Staff, AI Multimodal - Mai Superintelligence Team

Microsoft Microsoft · Big Tech · London, United Kingdom +1 · Software Engineering

Research role focused on training frontier multimodal AI foundation models at scale, pushing boundaries of performance and deployment. Involves algorithm development, model architecture design, experimentation, data innovation, and improving training/deployment efficiency.

What you'd actually do

  1. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
  2. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
  3. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
  4. Innovate and iterate over ideas, prototypes, and product.
  5. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback

Skills

Required

  • 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

Nice to have

  • experience and/or in-depth understandings about large-scale distributed systems
  • ability to work collaboratively in a fast-paced, innovative environment

What the JD emphasized

  • exceptional publication track record
  • strong publishing track record

Other signals

  • train the world’s most capable AI frontier models
  • pushing the boundaries of scale, performance and product deployment
  • deliver one of the best foundation models in the world