大模型算法工程师
Tasks
- Build and optimize agentic systems
- Develop reinforcement learning training pipelines
- Enable multi agent collaboration and long term memory
- Implement task planning and tool use
- Improve inference alignment and generalization
- Optimize reward model design and training stability
- Research and deploy self evolving mechanisms
- Track and validate new RL agent techniques
- Train and optimize large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Systems | Deep learning | Fine Tuning | Function Calling | GRPO | Learning algorithms | Long-term Memory | Machine Learning | Model Alignment | Multi-Agent | Multi-Agent Systems | PPO | PyTorch | Python | Reinforcement Learning | Reinforcement learning algorithms | Reward Model | Self Evolving | Supervised Fine Tuning | Tool use | Transformer
Education
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