岗位描述

This is a three-month internship.

Ant Group's International Data Algorithm Technology Department is seeking a passionate and innovative Algorithm Engineer to drive the development of Ant Group's international financial technology business using AI technology. In this role, you will have the opportunity to apply and research cutting-edge technologies such as artificial intelligence, large-scale modeling, and privacy computing in the field of inclusive finance.

Conduct in-depth analysis and exploration of global users and merchants based on payment data, location trajectories, and relationship networks to build global user and merchant profiles.

Participate in building and improving intelligent credit models to meet the development needs of Ant Group's international financial business, including anti-fraud, credit risk assessment, and enterprise operating capacity prediction, to support the development of inclusive financial services.

Ensure compliance and privacy safety in data cooperation with partners using privacy computing technologies such as federated learning, secure multi-party computation, and differential privacy, achieving win-win collaboration.

Gain a comprehensive understanding of the development of Ant Group's international financial technology business and actively apply and research cutting-edge technologies such as artificial intelligence, large-scale modeling, and privacy computing in the field of inclusive finance.

任职要求

Master's degree or above in Engineering, Computer Science, or a related field.

Solid programming skills (proficient in Python). Familiarity with machine learning principles and algorithms, deep understanding and practical experience in deep learning algorithms, and experience in developing large-scale algorithm systems using common deep learning tools such as TensorFlow, PyTorch, etc.Interest in financial technology, enthusiasm for technological innovation, and a strong passion for applying big data and artificial intelligence technologies to practical business scenarios to generate commercial value.

Preferred qualifications:
1) Practical experience in small sample modeling, large-scale modeling, privacy computing, etc.
2) Published papers in top international conferences/journals on machine learning.

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