Avathon
Senior AI Scientist, Transportation & Logistics
$160K–$240K
Pleasanton, California, United States · Senior · Full-time · Posted Apr 1, 2026
- Experience
- 10+ years in AI, ML, optimization, or supply chain systems.
- Education
- PhD in Operations Research, Computer Science, Applied Math, Transportation Engineering, or a related field.
About the job
Build and productionize optimization and machine-learning models for transportation and logistics, including routing, scheduling, ETA prediction, and asset utilization.
What you'll do
- Develop fleet, capacity, vehicle-routing, maritime, and container-optimization models, combining operations research, reinforcement learning, and machine learning where useful.
- Build ETA, transit-time, and risk forecasts, and model trade-offs between expedite costs and production impact.
- Deploy and monitor models with engineering; use knowledge-graph features, mentor scientists, and help guide the product roadmap.
What they ask for
- PhD in Operations Research, Computer Science, Applied Math, Transportation Engineering, or a related field.
- Deep knowledge of routing algorithms and time-series and probabilistic forecasting.
- Hands-on Python (NumPy, pandas, PyTorch or TensorFlow) and 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, streaming data (Kafka, Spark), or publications at NeurIPS, ICML, INFORMS, or similar.
Pay
$160k - $240k USD base salary annually
Tools
Python, NumPy, pandas, PyTorch, TensorFlow, Gurobi, CPLEX, OR-Tools
AI focus
Develop optimization, machine-learning, forecasting, anomaly-detection, and reinforcement-learning models for logistics; productionize them and work with AI agents that triage exceptions and recommend actions.
Model-written summary · the original posting is authoritative