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 machine learning, NLP, and LLMs for ETA and logistics-event prediction, package trajectory modeling, address solutions, and demand forecasting.
• Build algorithms for merchant and creator growth, product performance prediction, traffic distribution, and pricing or subsidy strategies.

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 experience applying common machine learning and deep learning algorithms.
• Proficient in Python/Java and familiar with at least one machine learning or deep learning framework such as TensorFlow/PyTorch.
• Strong data analysis, initiative, teamwork, and communication skills.

Nice to have

• Completing or recently completed a Master's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Experience with agents, LLM post-training, production benchmarks, logistics, e-commerce, operations research, or related AI work; publications or strong open-source work are also valued.

Tools

Python, Java, TensorFlow, PyTorch, NLP, LLMs

AI focus

Applies deep learning, machine learning, NLP, LLMs, agents, and reinforcement learning to logistics prediction, address intelligence, forecasting, workflow automation, and e-commerce growth.