大模型算法工程师-财经
Core
Developing and optimizing large language models (LLMs) for financial scenarios, focusing on domain knowledge injection, reasoning, decision-making, hallucination reduction, and real-time voice/dialogue systems.
Role type
Senior IC machine-learning engineer (large language models & agents)
Builds
Production-grade LLMs, multi-agent frameworks, real-time voice dialogue systems, and financial data analysis tools.
Domain
Financial services + Generative AI
Deliverable
production ML models
Required skills
Deep learning, NLP, Reinforcement Learning, LLM fine-tuning (SFT, RLHF), Multi-agent systems, RAG, NL2SQL, ASR/TTS, Python, C++
Preferred skills
Publications in NeurIPS/ICML/ICLR/ACL/EMNLP, ACM/ICPC/Top Coder/Kaggle awards
Technologies
LLM frameworks, Multi-agent frameworks, RAG systems, ASR, TTS
Responsibilities
Implementing Continue Pre-Train, SFT, and reward modeling to solve domain-specific LLM issues; Exploring Multi-Agent frameworks and inference acceleration for real-time function calls and context management; Researching end-to-end text and voice generation for real-time financial dialogue; Developing NL2SQL and code generation solutions for market intelligence.
Seniority
Senior, hands-on IC