Senior Applied Scientist - Industrial Robotics - Amazon

Key Responsibilities

• Design, prototype, and production‑grade implement machine learning models that power adaptive production control for industrial robots.
• Collaborate with cross‑functional teams to integrate AI, large‑scale optimization, and advanced manufacturing processes into a unified software stack.
• Conduct rigorous experimentation, evaluate model performance, and iterate to meet stringent real‑world reliability and latency requirements.
• Mentor junior scientists and engineers, fostering a culture of innovation and continuous improvement.
• Publish findings in internal and external venues, contributing to the broader applied science community.

Requirements

• Ph.D. or equivalent experience in Machine Learning, AI, Robotics, or related field.
• Proven track record of deploying ML solutions at scale in production environments.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Deep understanding of optimization techniques and their application to robotics and manufacturing.
• Excellent communication skills and ability to translate complex technical concepts to diverse audiences.