Research Engineer/Scientist, Efficient Models

What you'll do

• Develop efficient algorithms and architectures for generative and multimodal models using methods such as step distillation, CFG distillation, and quantization.
• Advance diffusion and autoregressive modeling approaches focused on acceleration and efficiency.

What they ask for

• B.S. in Computer Science or a related field, or equivalent experience.
• Expertise in efficient models, including understanding computational bottlenecks and acceleration methods.
• Proficiency training generative AI or LLM models with widely adopted frameworks and tools such as PyTorch and JAX.
• Strong communication and collaboration skills.

Nice to have

• Ph.D. in GenAI, MLSys, or equivalent experience.
• Research experience in GenAI, MLSys, or LLMs, with experience in areas such as image/video generation, model compression, efficient architectures, or reinforcement learning methods.

Tools

PyTorch, JAX

AI focus

Efficient generative and multimodal AI, including model distillation, compression, quantization, acceleration, and efficient inference for image/video generation and VLMs.