Rr-0369569

Job Description:

Technical Proficiency: Master at least one programming language among Python Go or C with exceptional command over code quality and structure.
System Scalability: Familiar with high-concurrency and asynchronous programming models. Possess hands-on experience in processing PB-scale data or building high-throughput data systems.
LLM Core Competencies: Profound understanding of the Transformer architecture and the full lifecycle of large models (Pre-training SFT RLHF).
Required Experience: Must have practical experience in Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF/DPO).
End-to-End Execution: Capable of independently designing and executing a complete loop from data construction and model training to performance evaluation with a deep understanding of how data impacts model performance at different stages.
Advanced Qualifications: Experience with multi-modal data processing or a proven track record of building large-scale data annotation platforms or automated data production pipelines from scratch (0 to 1).

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