Senior Researcher - Computer Architecture and Multimodal AI

Senior Researcher – Computer Architecture and Multimodal AI

Our client is establishing a new Computer Architecture Innovation Lab and is seeking highly accomplished Senior Researchers with deep expertise in multimodal artificial intelligence and large‑scale AI systems.

This position offers the opportunity to contribute to foundational research while shaping production‑grade AI systems at scale.

• Lead advanced research in multimodal learning, including vision‑language models (VLMs), video models, and multimodal agents.
• Design, train, and optimize large‑scale multimodal models with a strong focus on performance, efficiency, and scalability.
• Propose, develop, and validate novel model architectures and learning algorithms.
• Build and maintain end‑to‑end AI training and inference pipelines, covering data preprocessing, distributed training, evaluation, and deployment.
• Collaborate with system architects, engineers, and cross‑functional research teams to transition innovations from research into real‑world applications.
• Contribute actively to and help lead open‑source AI communities and projects.

• Strong expertise in multimodal learning with hands‑on experience in training:
  • Video understanding and generation models
  • Deep understanding of transformer‑based architectures

• Demonstrated contributions to major open‑source AI initiatives such as:
  • Hugging Face Transformers
  • LLaVA, BLIP‑2, InternVL
  • OpenMMLab, Diffusers
• Experience as an open‑source maintainer or core contributor is highly desirable.
• Advanced proficiency in PyTorch and/or JAX.
• Strong experience with large‑scale distributed training and inference frameworks.
• Proven ability to optimize AI performance across the software and hardware stack.
• Excellent engineering capability to build reliable, production‑grade AI pipelines.
• Strong publication record in leading AI conferences such as:
  • NeurIPS
  • ICLR
  • CVPR
  • ICCV
  • ACL
  • EMNLP
• Demonstrated ability to independently drive original research
  , from ideation through experimental validation and publication.

• PhD in Computer Science, Computer Engineering, or a closely related field, with 8+ years of research and/or industry experience.
• Excellent English communication and technical documentation skills.
• Strong collaborator, comfortable working within interdisciplinary and global research teams.
• Highly motivated to advance the state of the art in AI systems and architecture.

If this role aligns with your background and career goals, please submit your application or email your CV to