Senior AI Scientist, Transportation & Logistics

The role

You will build optimization and machine learning models for logistics and transportation on the Avathon platform. This includes working on routing, scheduling, network optimization, ETA prediction, and asset utilization.

What you will do

• Build fleet optimization, capacity planning and vehicle routing and scheduling models
• Solve maritime and container problems including vessel scheduling, port operations and container repositioning
• Combine OR, reinforcement learning and ML
• Build ETA and transit time models
• Flag shipments, carriers and suppliers that move away from normal behavior
• Model the trade-off between expedite cost and production impact
• Put models into production on cloud-native services
• Use graph features from the Computational Knowledge Graph and work with AI agents
• Lead AI initiatives in the domain, mentor scientists and help product set the roadmap

Required qualifications

• PhD in Operations Research, Computer Science, Applied Math, Transportation Engineering or a related field
• 10+ years in AI, ML, optimization or supply chain systems
• Deep knowledge of routing algorithms (VRP, shortest path, heuristics and metaheuristics) and time series and probabilistic forecasting
• Hands-on Python (NumPy, pandas, PyTorch or TensorFlow)
• Hands-on optimization solvers (Gurobi, CPLEX, OR-Tools)
• Experience shipping models to production on real logistics data

Nice to have

• Maritime, container logistics or fleet scheduling experience
• Reinforcement learning, simulation or digital twins, and streaming data (Kafka, Spark)
• Publications at NeurIPS, ICML, INFORMS or similar

About the company

Avathon is an Industrial AI autonomy platform helping customers across heavy industries accelerate the journey toward autonomous operations. The platform uses a Computational Knowledge Graph to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management.