Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics

Come shape the future of robotic sensing hardware by building the computer vision and ML systems that define how every robot in Amazon's global fulfillment network sees, senses, and understands the world. Basic qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience with one or more deep learning frameworks such as PyTorch, TensorFlow, or equivalent - Experience with 2D and 3D vision tasks including object detection, segmentation, depth estimation, or point cloud processing - Experience optimizing ML models for deployment on resource constrained hardware including quantization, pruning, or distillation techniques - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders Preferred: - PhD, or PhD and 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience - Experience with robotic perception systems in industrial, warehouse, or manufacturing environments - -Experience with sensor fusion across multiple modalities (RGB, depth, lidar, time of flight) - -Familiarity with edge compute hardware and embedded inference pipelines - -Experience with real time computer vision systems operating under strict latency and power constraints - -Track record of transitioning research prototypes to production systems deployed at scale - -Experience with safety critical ML applications or functional safety requirements - -Experience collaborating with hardware engineering teams on sensor selection, optical design, or compute architecture trade offs - -Experience with image signal processing pipelines and camera system characterization - -Experience mentoring scientists or engineers in applied research environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, North Reading - 167,100.00 - 226,100.00 USD annually USA, MA, Westboro - 167,100.00 - 226,100.00 USD annually