AI 研发架构师 (AI for AI)
Tasks
- Automate evaluation and feedback
- Automate model lifecycle validation
- Build AI and code repository interaction mechanism
- Build automated AI research pipeline
- Construct AI native wind tunnel system
- Convert hypotheses into engineering tasks
- Develop AutoResearch agent
- Execute agent driven verification experiments
- Extract ideas from academic papers
- Manage experiment tracking and orchestration
- Optimize CI/CD workflows
- Optimize codebase semantic retrieval
- Propose experiment hypotheses
- Run cluster training for experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | CI/CD | CrewAI | DPO | DeepSpeed | Distributed Computing | LLM | Langgraph | MLflow | Megatron-LM | Multi-Agent | Multi-Agent Systems | Pretraining | Python | RLHF | SFT | Vector Database | Weights and Biases
Education
N/A
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