量化研究員(機器學習) Machine Learning Researcher

Requirements - Background in machine learning or quantitative research, preferably related to financial markets. - Experience deploying ML models in real-time, low latency environments is a plus. - Familiarity with optimizing model latency and inference speed(e.g., KV caching, quantization, pruning) is advantageous. - Open to both experience candidates and highly motivated fresh graduated. Technical Skills - Deep Learning Architectures: Transformers, RNNs, CNNs, Attention mechanisms. - Programming Languages: Python, C++, Jax/PyTorch - Model Optimization: Optimizing models for high-performance trading systems. Analytical & Communication Skills - Strong mathematical and statistical background (probability theory, linear algebra, calculus). - Ability to articulate complex technical concepts. Motivation & Learning - Passion for applying machine learning to quantitative finance. - Drive to continuously improve models.