PhD Research Intern, Efficient Deep Learning - 2027

You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, diffusion LLMs, multimodal models, and hybrid cloud–edge agentic systems. Your contributions have the chance to create real impact on our products.

• Research, design, and implement novel methods for efficient deep learning in one or both of the team’s focus areas:
• Diffusion LLMs and multimodal models – sampling efficiency, adaptive unmasking, self-speculation / parallel decoding, training and distillation pipelines, and multimodal generation.
• Efficient agentic AI – hybrid inference orchestration across cloud and edge, routing and scheduling policies, on-device vs. cloud expert delegation, and resource-aware agent loops.