大模型算法工程师（Llm）-校招【27届】
Tasks
- Apply chain of thought and reflection for reasoning
- Build LLM agent systems for automotive scenarios
- Build reinforcement learning optimization pipeline
- Collaborate with product and engineering for model deployment
- Construct preference data and RLVR training data
- Deploy models with monitoring and A B testing
- Design model evaluation and iteration loops
- Develop end to end LLM applications for sales and customer support
- Implement multi step task planning with tools skills handoffs
Perks/Benefits
- N/A
Skills/Tech-stack
AB Testing | Agent | Chain-of-Thought | DPO | Deep learning | Distributed Training | Function Calling | Handoffs | Language Model | Large Language Model | Logic reasoning | Machine Learning | Memory | Model Monitoring | Model Quantization | Planning | Planning and State Tracking | Prompt engineering | PyTorch | Python | RLVR | Reflection | Reinforcement Learning | SFT | Skills | State tracking | TensorFlow | TensorRT-LLM | Tools | Transformer | VLLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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