大模型算法工程师（开放域对话）
Tasks
- Accelerate inference for low latency deployment
- Apply RLHF and RLAIF training
- Build end to end dialogue datasets
- Clean and deduplicate raw corpora
- Create evaluation datasets for complex interactions
- Develop LLM algorithms for open domain dialogue systems
- Fine tune base models with SFT
- Implement agentic reinforcement learning for multi turn dialogue
- Improve intent recognition and personalization
- Optimize prompts with prompt engineering
- Optimize task execution success rate
- Quantize and distill models
- Reduce hallucinations in tool use
- Run offline evaluation and online A B tests
- Solve dialogue state tracking with multi turn context
- Train reward models for reinforcement learning
Perks/Benefits
- N/A
Skills/Tech-stack
Data Deduplication | Data cleaning | DeepSpeed | Dialogue State Tracking | Distributed Training | Function Calling | GRPO | Inference acceleration | Language Models | Large Language Models | Model Distillation | Model Quantization | OpenRLHF | PPO | Prompt Optimization | Prompt engineering | Python | RLAIF | RLHF | React | Reinforcement Learning | Reward Modeling | SFT | State tracking | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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