Hiring: Senior Applied Scientist Company: Amazon Location: Sunnyvale, CA Job Posted Time: 2026-09-09 17:58:26 Employment Type: Full-time Target Skills & Keywords: Multi-Modal Perception, Radar, Thermal/Infrared Imaging, Computer Vision, Deep Learning, Sensor Fusion, ML Perception Pipelines, Autonomous Robotics Experience: - Lead the research, design, and development of ML-based perception pipelines for radar and thermal/infrared imaging modalities - Develop deep learning models for object detection, classification, segmentation, and tracking using radar data (point clouds, range-Doppler maps, radar tensors) and thermal imagery - Design and implement multi-modal fusion architectures combining radar, thermal, camera, and depth data for robust, all-condition perception - Develop novel representations and feature extraction methods tailored to radar and thermal sensor characteristics (sparsity, noise profiles, spectral properties) - Build end-to-end perception systems — from raw sensor data processing and calibration to model training, evaluation, and real-time deployment - Collaborate closely with Hardware, Navigation, Planning, and Controls teams to define sensor configurations and deliver integrated autonomy solutions - Establish benchmarks, datasets, and evaluation frameworks for radar and thermal perception - Mentor scientists and engineers; foster a culture of scientific rigor, innovation, and high-impact delivery - Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents Required Skills: - Deep computer vision expertise - Classical signal processing techniques for radar and thermal imaging - ML-based methods for extracting semantic and geometric information from radar point clouds, radar tensors, and thermal imagery - Multi-modal sensor fusion (radar, thermal, camera, depth) - Deep learning model development for detection, classification, segmentation, and tracking - End-to-end perception system development and real-time deployment Qualifications: - Exceptional applied science background with expertise in computer vision and machine learning - Experience leading research and development of ML-driven perception systems - Strong track record of scientific publication in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) - Experience mentoring scientists and engineers - Ability to drive technical discussions with stakeholders and cross-functional teams Compensation: Not specified in the provided job text. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!