Infrastructures
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Selected papers
Aug 4, 2025
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Computation and Language
May 17, 2025
Model Merging in Pre-training of Large Language Models
LLM
Apr 2, 2025
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Machine Learning
Featured roles
Research Scientist in ML Systems
Seattle / San Jose
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Software Engineer, ML System Architecture
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Research Scientist, Applied Machine Learning
Seattle / San Jose
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Software Engineer in Machine Learning Systems
Seattle / San Jose
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Software Engineer Intern (Seed - Machine Learning System)
Seattle / San Jose
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Research Scientist Intern (Seed - Machine Learning System)
Seattle / San Jose
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