Machine Learning Researcher Intern/Full-Time
Please note: This position requires candidates to be proficient in using Chinese as the working language.
Responsibilities:
- Conduct research and analysis on large datasets using various machine learning methods, including but not limited to statistical learning, deep learning, and reinforcement learning, to discover underlying patterns of market data.
- Apply machine learning methods in quantitative scenarios such as feature extraction, market price prediction, and portfolio optimization.
- Design machine learning methods to improve existing models, strategies, and portfolio performance.
- Explore the application of cutting-edge machine learning algorithms in the financial field.
- Participate in company-wide research projects and other related works.
Requirements:
- Bachelor's degree or above, majoring in computer science, mathematics, statistics, physics, or related fields.
- Familiarity with the fundamentals of machine learning, with related research experiences such as representation learning, generative modeling, time series and natural language processing, image and video processing, and data mining.
- Proficient programming skills, with the ability to use Python and develop machine learning pipelines based on frameworks such as PyTorch/Tensorflow.
- Have a scientific mindset and strong self-learning ability, with a strong interest in applying machine learning in the financial field.
- Advantageous:
- Publications in top international conferences or journals in relevant fields (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, COLT, KDD).
- Experience in practical and impactful real-world applications of machine learning such as generative AI products, self-driving systems, and recommender systems.
Compensation
This is a paid position. Compensation will be provided in accordance with company policy. Details will be discussed with qualified candidates during the interview process.