Member of Technical Staff, AI Multimodal - Mai Superintelligence Team

Microsoft Microsoft · Big Tech · Zürich, ZH, Switzerland · Software Engineering

Research role focused on developing and training world-class multimodal AI frontier models, pushing boundaries of scale and performance. Involves algorithm development, model architecture design, experimentation, data innovation, and improving training/deployment efficiency. Collaborates with infrastructure, data engineering, pre-training, post-training, and product feedback teams. Requires strong publication track record and expertise in multimodal research.

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
  • strong publishing track record

Nice to have

  • large-scale distributed systems

What the JD emphasized

  • exceptional publication track record
  • strong publishing track record

Other signals

  • frontier models
  • multimodal
  • large-scale distributed systems
  • exceptional publication track record