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
May 9, 2025
Understanding Stragglers in Large Model Training Using What-if Analysis
Cluster Computing
Feb 27, 2025
Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
System Research
Oct 2, 2024
HybridFlow: A Flexible and Efficient RLHF Framework
Reinforcement Learning
System Research
Featured roles
Research Engineer – Multimodal Training Infrastructure (Seed Infra)
San Jose
Experienced Hiring
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Research Engineer – Agent Training Infrastructure (Seed Infra)
Seattle
Experienced Hiring
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Research Engineer Graduate (Agent Evaluation & Training Infrastructure – Seed Infra) – 2026 Start (PhD)
Seattle
Campus Recruitment
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Research Engineer Graduate (AI Training Systems Reliability & Performance - Seed Infra) - 2026 Start (PhD)
Seattle
Campus Recruitment
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Student Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start (PhD)
Seattle
Internship
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Student Researcher (AI Foundation Models Infrastructure – Seed Infra) – 2026 Start (MS/BS)
Seattle
Internship
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