Sr Applied Scientist, Amazon Shipping
Core
Lead ML teams building large-scale forecasting and optimization systems for Amazon's global transportation network.
Role type
Senior Applied Scientist (Team Lead)
Builds
Production-grade ML solutions for transportation planning and execution
Domain
Logistics / Transportation / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Neural networks, Reinforcement learning, LLMs, Tree-based models, System design, Mentoring, Roadmap execution, Business metrics ownership
Preferred skills
Distributed systems, Large-scale data processing
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, LSTMs, Transformers, R, scikit-learn, MxNet, numpy, scipy
Responsibilities
Lead and grow a high-performing team of Applied Scientists; Define scientific vision and roadmap for ML solutions; Guide model and system design; Ensure models are production-ready and scalable; Own end-to-end business metrics; Contribute to the broader ML community through publications.