LLM Agent Research Scientist 大模型智能体研究科学家
Beijing, Beijing, China
CNY 144K-240K (estimate) Entry-level Full Time
Tasks
- Build reasoning and planning methods
- Build reward modeling systems
- Create agent benchmarks and evaluation methods
- Create post training recipes with reinforcement learning
- Design agent architectures
- Design agent environments
- Design agent harness for production execution
- Develop LLM agent research initiatives
- Develop multi-agent frameworks
- Evaluate agent correctness safety robustness
- Generate synthetic data
- Implement tool use
- Improve agent self improvement techniques
- Partner with engineering, product, and data teams
- Train models on large datasets with GPUs
Perks/Benefits
Skills/Tech-stack
Agent systems | Benchmarking | Cloud Computing | DeepSpeed | GPU Computing | Megatron | Model Training | Multi-Agent | Multi-Agent Systems | PyTorch | Python | Reinforcement Learning | Reward Modeling | Synthetic data | Tool use | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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