豆包大模型算法工程师-Agent System
Core
Design and implement a Large Model Generic Agent System including Tool, Environment, Sandbox, and Agent Loop components to support large-scale training and evaluation tasks.
Role type
Senior IC machine-learning engineer (agent systems)
Builds
Large-scale training and evaluation infrastructure for generic agent systems
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, C/C++/Rust/Golang/Java, Linux system administration, large-scale system design, algorithm implementation, system performance optimization
Preferred skills
GUI interactive agent environment research, training-inference consistency solutions, open-source project contributions, large model research records
Technologies
Python, C/C++, Rust, Golang, Java, Linux
Responsibilities
Design and implement Agent System components (Tool, Environment, Sandbox, Agent Loop); Optimize system performance, stability, resource utilization, and cost; Research and implement GUI interactive agent environments for training and evaluation.