Sr. Research Engineer/Scientist(all levels), Efficient Models

What you'll do

• Develop efficient generative and multimodal models using methods such as step and CFG distillation and quantization.
• Advance diffusion and autoregressive modeling with a focus on acceleration and efficiency.
• Develop distillation frameworks, model acceleration, and hardware-efficient inference approaches.

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 frameworks 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, and experience in at least one listed area, such as image/video generation, model compression, efficient architectures, or reinforcement learning training methods.

Tools

PyTorch, JAX, diffusion, autoregressive models, MoE, window attention, RLHF, DPO

AI focus

Applied research and engineering for efficient generative AI and multimodal models, including distillation, compression, acceleration, and deployment.