AI Algorithm Engineer for Financial AI & Platform

moomoo; Hong Kong; On-site; HKD 700,000 - 1,200,000; Full time

Job summary

moomoo is hiring a research-oriented AI engineer in Hong Kong to work on investment agents, intelligent search, and personalized recommendations. You will participate in model training, evaluation, and deployment across product, engineering, and quantitative teams to deliver real business impact.

Ideal candidates have strong ML/DL fundamentals, hands-on Python and PyTorch experience, and a passion for advancing AI in financial contexts and fintech platforms.

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Automation, Financial Engineering, or related field.
• Solid foundation in machine learning and deep learning; knowledge of Transformers, LLMs, agents, or search/recommendation systems.
• Proficient in Python; familiar with PyTorch and data structures, algorithms, and engineering implementation.
• Strong problem analysis, experimentation, and ability to validate data-driven solutions in practical goals.
• Fluent in English; capable of technical communication and cross-team collaboration.

Responsibilities

• Research and optimize core algorithms including large language models, agents, RAG, and multimodal components, with data construction and evaluation.
• Deploy AI scenarios for investment agents, intelligent search, personalized recommendations, and financial analysis; collaborate across product, eng, and quant teams.
• Build and evolve the AI platform, knowledge bases, model services, and evaluation systems for scalable reuse.

Skills

Python

ML/DL

Transformers

RAG

Search & Reco

Data Analysis

Education

Bachelor's degree or above in CS/AI/Math/Statistics/Automation/FinEng

Tools

PyTorch

Pandas

NumPy

Git

Job description

moomoo is hiring a research-oriented AI engineer in Hong Kong to work on investment agents, intelligent search, and personalized recommendations. You will participate in model training, evaluation, and deployment across product, engineering, and quantitative teams to deliver real business impact.

Ideal candidates have strong ML/DL fundamentals, hands-on Python and PyTorch experience, and a passion for advancing AI in financial contexts and fintech platforms.