Applied Scientist - Computer Vision, Amazon Robotics
Core
Architect, design, and implement scalable Machine Learning models for computer vision systems on robotic platforms to enable autonomous stowing in fulfillment centers.
Role type
Senior Applied Scientist (Computer Vision & Robotics)
Builds
Real-time 3D perception systems, semantic occupancy predictions, and mesh reconstructions for robotic stow operations.
Domain
Robotics, Computer Vision, Deep Learning, Fulfillment Logistics
Deliverable
production ML models
Required skills
Deep learning algorithms, Computer vision, 3D scene reconstruction, Transformer architectures, Generative models, Edge deployment optimization, Java/C++/Python programming, Simulation and emulation testing
Preferred skills
Statistical modeling, Large-scale data analysis, Scientific publication record (CVPR, ICCV, NeurIPS, etc.), Fast-paced environment adaptability
Technologies
Transformers, Generative models, Multi-camera fusion, 3D mesh reconstruction, Edge computing
Responsibilities
Architect and implement ML models for vision systems; Optimize and deploy ML models at scale on edge devices; Prototype and test concepts via simulation and live robotic equipment; Mentor engineers and lead technical strategy; Collaborate with science and operations teams to iterate on designs.
Seniority
Senior, hands-on IC with mentorship responsibilities
