Senior AI Scientist – Transportation & Logistics

Avathon • Pleasanton, CA

7h • Onsite

About The Position

We’re hiring a Senior AI Scientist (Transportation & Logistics) at Avathon — where AI meets the real world.
This is a high-impact role at the intersection of operations research, reinforcement learning, and large-scale data systems, focused on building intelligent solutions that transform transportation and logistics networks.
We are looking for a Senior AI Scientist to lead the design and deployment of advanced optimization and machine learning systems across complex transportation ecosystems. You will work on real-world challenges such as routing, scheduling, network optimization, demand forecasting, and asset utilization across multimodal logistics environments including FCL, LCL, FTL, LTL, intermodal, and maritime transportation.
This role offers the opportunity to drive innovation in vessel scheduling, container repositioning, fleet optimization, and dynamic routing, while collaborating closely with engineering, product, and operations teams to bring scalable AI solutions into production.

Requirements

• PhD in Computer Science, Operations Research, Applied Math, or related quantitative field
• 10–15+ years of experience in AI/ML or optimization, or Supply Chain planning systems
• Strong expertise in:
• Python (NumPy, Pandas, PyTorch/TensorFlow)
• Optimization tools (Gurobi, CPLEX, OR-Tools)
• Deep knowledge of:
• Routing algorithms (VRP, shortest path, heuristics/metaheuristics)
• Time-series forecasting and probabilistic modeling
• Experience deploying models in production environments

Nice To Haves

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

Responsibilities

• AI/ML Model Development
• Design and implement advanced models for:
• Fleet optimization and capacity planning
• Vehicle routing and scheduling (VRP, TSP variants)
• Demand forecasting and optimization
• Apply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches
• Transportation Domain Solutions
• Build solutions for:
• Maritime logistics (vessel scheduling, port operations)
• Container repositioning and imbalance optimization
• Truckload (FTL), less-than-truckload (LTL), and intermodal routing
• Incorporate real-world constraints (time windows, capacity, regulations, SLAs)
• AI Engineering & Deployment
• Productionize models using scalable architectures (cloud-native, APIs)
• Collaborate with engineering teams to deploy AI solutions into production
• Ensure robustness, explainability, and monitoring of models
• Data & Feature Engineering
• Work with large-scale datasets:
• Shipment data, GPS/telematics, weather, port congestion, tariffs
• Build feature pipelines and data validation frameworks
• Leadership & Strategy
• Lead AI initiatives and mentor junior scientists
• Translate business problems into AI solutions
• Partner with product, operations, and stakeholders to define roadmaps

Benefits

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree