大模型Agent研究工程师 - Seed Model
Core
Research and engineering of large model Agent systems to optimize complex task execution, including planning, memory, and multi-agent collaboration.
Role type
Senior IC large model Agent research engineer
Builds
Large model Agent systems supporting applications in programming, research, operations, and knowledge work
Domain
AI / Large Language Models / Multi-modal Models / Robotics
Deliverable
production ML models
Required skills
Large language models, multi-modal large models, intelligent agent systems, large model deployment, software engineering, machine learning, task planning, execution, memory management, multi-agent collaboration, prompt design, model orchestration, benchmark engineering, automated evaluation, reinforcement learning, multi-agent systems
Preferred skills
Experience with language model reinforcement learning, multi-agent systems, benchmark engineering, automated evaluation, effect analysis
Technologies
Harness, Memory, context compression, Planning/Execution, multi-Agent collaboration, Prompt, Tool Use, task decomposition, context management, model orchestration, execution strategies
Responsibilities
Research and engineer large model Agent systems; Design and implement benchmarks and automated evaluation processes; Build and optimize key Agent interfaces and mechanisms; Participate in training data construction and effect analysis; Collaborate with algorithm, platform, and product teams to drive Agent adoption
Seniority
Senior, hands-on IC
