Senior Applied Scientist, Amazon Industrial Robotics
Core
Develop AI and machine learning systems enabling continuous learning, fleet-wide intelligence, and performance optimization for advanced robotics operations at unprecedented scale.
Role type
Senior Applied Scientist (Robotics & ML)
Builds
Intelligent robotics systems that learn and improve from real-world fleet experience
Domain
Industrial Robotics, Machine Learning, Large-scale Data Systems
Deliverable
production ML models
Required skills
Machine learning, deep learning, neural networks, reinforcement learning, predictive analytics, fleet optimization, algorithm design, scientific code development, experimentation design, benchmark creation, team mentorship
Preferred skills
Natural language processing, statistical modeling, distributed systems, large-scale AI solutions, data infrastructure management
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, ElasticSearch, EMR, EC2, Glue, Lambda, numpy, scipy, scikit-learn, MxNet
Responsibilities
Invent new scientific approaches for ill-defined problems in continuous learning and fleet optimization; design and deliver complex ML solutions for production; build ML models including RL training infrastructure and anomaly detection systems; write critical-path scientific code; execute rigorous experimentation bridging simulation and real-world environments; build evaluation benchmarks for operational outcomes; influence team science and business strategy; mentor other scientists; document scientific solutions and design choices
Seniority
Senior, hands-on IC with mentorship responsibilities