As a Sr. Applied Scientist in Robot Perception, you will be at the forefront of this transformation. You will develop and deploy state-of-the-art perception algorithms that enable robots to truly understand and interact with the physical world - bridging the gap between theoretical research and realworld impact. Bringing deep expertise in Computer Vision and a nuanced understanding of the capabilities and limitations of modern Vision-Language Models (VLMs), you will innovate boldly and push the boundaries of what's possible. Our vision for the Perception layer is ambitious: to enable seamless, intelligent interaction between the user, the robot, and its environment. This is a rare opportunity to work at the intersection of deep learning, large language models, and robotics - contributing to research that doesn't just advance the field, but reshapes it. You will collaborate with world-class teams pioneering breakthroughs in dexterous manipulation, locomotion, and humanrobot interaction, all at an unprecedented scale. Key job responsibilities Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding • Lead research initiatives in computer vision, sensor fusion and 3D perception • Collaborate with cross-functional teams including robotics engineers, software engineers, and product managers to define and deliver perception capabilities • Drive end-to-end ownership of ML models - from data collection and labeling strategy to training, evaluation, and deployment • Mentor junior scientists and engineers; contribute to a culture of technical excellence • Define and track key metrics to measure perception system performance in real-world environments • Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents A day in the life Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment • Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations • Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed - and in doing so, build lasting trust across the team • Mentor team members while maintaining significant hands-on contribution to technical solutions About the team Our Industrial Robotics Group is a diverse group of scientists and engineers passionate about building intelligent machines. We value curiosity, rigor, and a bias for action. We believe in learning from failure and iterating quickly toward solutions that matter. BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - PhD in Computer Science, Electrical Engineering, Robotics, or a related - field - • 4+ years of hands-on experience in computer vision, 3D perception, or - sensor fusion - • Strong proficiency in Python and/or C++ - • Experience with deep learning frameworks (PyTorch, TensorFlow, or - equivalent) - Job Description https://loop.cloud.microsoft/print/eyJwIjp7InUiOiJodHRwczovL2FtY... - 3 of 9 4/30/26, 5:07 PM - • Proven track record of delivering ML/perception systems to production - • Strong publication record or equivalent applied research experience PREFERRED QUALIFICATIONS - Experience with robotic perception in real-world, unstructured - environments - • Familiarity with ROS/ROS2 and robotics middleware - • Experience with point cloud processing (PCL, Open3D) and multi-modal - sensor fusion - • Knowledge of SLAM, localization, or mapping systems - • Experience with large-scale data pipelines and distributed training - • Prior experience in warehouse automation, autonomous vehicles, or - industrial robotics 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, CA, SAN FRANCISCO - 192,200.00 - 260,000.00 USD annually