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

San Jose, California · Senior · Full-time · Posted Oct 28, 2026

Education
B.S. in Computer Science or related fields, or equivalent experience; Ph.D. in GenAI, MLSys or equivalent experience preferred.

About the job

Design and implement efficient large-scale generative and multimodal models, focusing on distillation, compression, acceleration, and deployment.

What you'll do

  • Develop efficient algorithms and architectures for generative and multimodal models using distillation, quantization, and other efficiency methods.
  • Advance diffusion and autoregressive generative modeling 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, 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 in fast-paced environments.

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

AI focus

Develop efficient generative AI and multimodal models, including distillation, compression, quantization, and accelerated diffusion and autoregressive modeling.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)