AI Scientist – Transportation & Logistics

The role

This person will design and deploy advanced optimization and machine learning systems for transportation and logistics networks. They will work on routing, scheduling, network optimization, demand forecasting, and asset utilization.

What you will do

• Design and implement advanced models for fleet optimization, capacity planning, vehicle routing, and scheduling
• Apply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches
• Build solutions for maritime logistics, container repositioning, and truckload or intermodal routing
• Productionize models using scalable architectures
• Collaborate with engineering teams to deploy AI solutions into production
• Ensure robustness, explainability, and monitoring of models
• Build feature pipelines and data validation frameworks
• Lead AI initiatives and mentor junior scientists
• Translate business problems into AI solutions
• Partner with product, operations, and stakeholders to define roadmaps

Required qualifications

• PhD in Computer Science, Operations Research, Applied Math, or related quantitative field
• 6+ years of experience in AI/ML or optimization, or Supply Chain planning systems
• Python (NumPy, Pandas, PyTorch/TensorFlow)
• Optimization tools (Gurobi, CPLEX, OR-Tools)
• Routing algorithms (VRP, shortest path, heuristics/metaheuristics)
• Time-series forecasting and probabilistic modeling
• Experience deploying models in production environments
• Optimization + Machine Learning hybrid modeling
• Strong problem-solving and mathematical modeling skills
• Ability to handle ambiguous, real-world constraints
• Communication skills to explain complex models to business stakeholders

Nice to have

• Experience in transportation, logistics, or supply chain domain
• Familiarity with Maritime shipping or fleet scheduling
• Container logistics and repositioning problems
• Reinforcement learning for dynamic decision-making
• Digital twins and simulation systems
• Knowledge of cloud platforms (GCP, AWS, Azure)
• Experience with streaming data (Kafka, Spark)
• Published in AI/ML/OR conferences (NeurIPS, ICML, INFORMS, etc.)

Before you apply

• Complete a technical assessment
• Two-three rounds of Technical interviewing rounds
• One onsite round

About the company

Avathon is an Industrial AI autonomy platform helping customers across heavy industries accelerate the journey toward autonomous operations. Their platform uses a Computational Knowledge Graph foundation to power AI-driven applications.