Join our dynamic internship experience in the Global E-Commerce Content Recommendation team, contributing to product decisions, platform growth, and emerging technologies. As a PhD intern, you'll build industry-leading recommendation systems, explore generative techniques, and collaborate with industry experts.
Requirements
- Currently pursuing a PhD with a background in computer science, machine learning, or similar fields;
- Good knowledge of theoretical and empirical research in addressing research problems;
- Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures.
- Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
- Strong first-author publications record in AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);
- Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;
- Internship experience in an AI research organization.
Benefits
- Hands-on learning
- Community-building and development events
- Collaboration with industry experts
