Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 Start

What you'll do

• Develop deep-learning and operations-research models for global e-commerce supply chain and logistics.
• Use data and machine-learning methods to predict delivery outcomes, package trajectories, demand, and sales; apply NLP and LLMs to address problems.
• Build algorithms supporting merchant and creator growth, product performance prediction, and operational strategy.

What they ask for

• Completing or recently completed a Bachelor's degree in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or a related discipline.
• Proficient in machine learning and statistics, with practical application experience using common machine-learning and deep-learning algorithms.
• Proficient in Python or Java, with strong coding abilities and familiarity with at least one machine-learning/deep-learning framework.
• Strong data-analysis abilities, initiative, and teamwork and communication skills.

Nice to have

• Completing or recently completed a Master's degree in a related discipline.
• Experience with agents, LLM post-training, evaluation benchmarks, logistics, e-commerce, operations research, or related AI work.

Tools

Python, Java, TensorFlow, PyTorch

AI focus

Applies machine learning, deep learning, NLP, LLMs, agents, and reinforcement learning to logistics forecasting, delivery prediction, address intelligence, and e-commerce growth; preferred work includes agent development, LLM post-training, and evaluation.