Machine Learning Engineer Graduate (E-Commerce Recommendation Video) - 2027 Start

Develop and deploy ML models to power personalized e-commerce recommendations

• Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
• Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
• Focused on scaling, robustness, and production-quality deployment

Individuals who are completing or have recently completed a Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.

• Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
• Demonstrated ability to conduct rigorous research and analyze large-scale data

• Strong problem-solving skills and a high sense of ownership Preferred Qualifications:

• Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
• Experience with recommendation systems, retrieval models, or multi-modal learning
• Familiarity with building and deploying real-time, scalable ML systems in production