Research Engineer – Agent Training Infrastructure (Seed Infra)
ByteDance · Seattle, Washington, US
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneo...
Job description
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities: The base salary range for this position in the selected city is $232560 - $427500 annually. - Design, implement, and maintain agent execution environments and runtime frameworks for multi-agent training at scale - Build and optimize infrastructure for RLHF pipelines, reward modeling, and distributed RL training - Manage and orchestrate many-agent parallel execution, including environment simulations and environment managers - Collaborate closely with research teams to support the LLM training pipeline: training → SFT → RLHF → evaluation → serving - Ensure high-performance, scalable, and fault-tolerant distributed systems for agent frameworks - Develop tools and libraries to monitor, debug, and benchmark agent training and inference - Translate research prototypes into production-ready infrastructure that can support large-scale AI experiments