大模型算法工程师-Data
Core
Lead end-to-end R&D planning for large language models (LLMs), focusing on fine-tuning, alignment, and deployment to enhance industry-specific understanding, generation, and reasoning capabilities.
Role type
Senior LLM Algorithm Engineer (Data & Research)
Builds
High-quality industry training datasets, production-ready LLMs, and evaluation benchmarks for vertical domains.
Domain
Artificial Intelligence / Large Language Models / Vertical Industry Applications
Deliverable
production ML models
Required skills
LLM fine-tuning (LoRA, QLoRA), Reinforcement Learning from Human Feedback (RLHF/RLAIF), Continuous Pre-training (CPT), Knowledge Graph integration, Data pipeline construction, Model evaluation (Benchmarking), Python programming, Transformer architecture understanding.
Preferred skills
Model distillation, Model deployment engineering, Domain expertise in Finance/Medical/Education/Industrial sectors, Human-in-the-loop evaluation design.
Responsibilities
Design and implement continuous pre-training and post-training workflows; Collect, clean, and optimize corpora and knowledge graphs; Build domain-specific evaluation metrics and expert assessment mechanisms; Collaborate with product and engineering teams to translate technical solutions into deployable features.
Seniority
Senior, hands-on IC
