Amazon
Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics
$167K–$226K
North Reading, MA +1 · Senior · Full-time · Posted Oct 29, 2026
- Location
- North Reading, MA
Westboro, MA - Experience
- PhD, or Master's degree and 6+ years of applied research experience. Preferred: PhD and 4+ years of deep learning, computer vision, human-robot interaction, or algorithms implementation experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience
About the job
Develop and validate computer vision and machine learning systems for robotic sensing hardware, shaping sensor and compute decisions and deploying perception models on robots.
What you'll do
- Define sensing and compute hardware requirements with hardware and applied science partners.
- Develop, optimize, and benchmark robotic perception models for edge deployment.
- Validate models and sensing hardware, then transition perception systems into production and fleet deployment.
What they ask for
- Experience programming in Java, C++, Python or a related language.
- Experience delivering complex deep learning, machine learning, and computer vision software systems to customers.
- Experience with a deep learning framework such as PyTorch or TensorFlow and with 2D/3D vision tasks.
- Experience optimizing ML models for resource-constrained hardware, including quantization, pruning, or distillation.
Nice to have
- Experience with robotic perception systems in industrial, warehouse, or manufacturing environments.
- Experience with sensor fusion, edge compute, real-time vision, or hardware engineering collaboration.
Pay
167,100.00 - 226,100.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, PyTorch, TensorFlow, RGB, depth, lidar
AI focus
Applied machine learning and computer vision for robotic perception, including object detection, depth estimation, scene understanding, barcode recognition, sensor fusion, safety-rated vision, and real-time edge inference.
Model-written summary · the original posting is authoritative