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

What you'll do

• Develop efficient methods for generative and multimodal models, including distillation and quantization.
• Advance diffusion and autoregressive models with a focus on acceleration and efficiency.

What they ask for

• B.S. in Computer Science or a related field, or equivalent experience.
• Expertise in efficient models, computational bottlenecks, and acceleration methods.
• Proficiency training generative AI or LLM models using 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, with experience in a listed area such as generation, compression, efficient architectures, or reinforcement learning.

Tools

PyTorch, JAX, diffusion, autoregressive models, quantization, MoE, RLHF, DPO

AI focus

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