Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2027 Start
Core
Building AI-native capabilities for global logistics, including logistics agents, address intelligence, context engineering, agent evaluation, and workflow automation for complex supply chain operations.
Role type
Machine Learning Engineer (Graduate)
Builds
Logistics agents, address intelligence systems, workflow automation, ETA prediction models, logistics network knowledge graphs, sales forecasting models, and merchant/creator growth algorithms.
Domain
E-commerce, Global Supply Chain & Logistics, AI/LLMs
Deliverable
production ML models
Required skills
Deep learning, Operations research, LLMs, Reinforcement learning, Retrieval systems, NLP, Time series forecasting, Data mining, Knowledge graphs, Python, Java, TensorFlow, PyTorch
Preferred skills
Coding agents, Long-horizon agents, Computer-use agents, Workflow orchestration, LLM post-training (SFT, DPO, PPO, GRPO, RLHF, RLAIF), Reward modeling, Counterfactual data training, Published papers in LLMs/agents/NLP/AI engineering
Technologies
Python, Java, TensorFlow, PyTorch, LLMs, Knowledge graphs
Responsibilities
Develop deep learning and operations research models for supply chain and logistics; Predict ETA and logistics events using deep learning and statistical inference; Build logistics network knowledge graphs and predict spatio-temporal trajectories; Predict sales and demand using time series forecasting; Develop growth algorithms for e-commerce merchants and creators; Optimize product performance and traffic distribution using data mining and machine learning.
Seniority
Graduate (Entry-level)