Senior Multi-Modal Perception Scientist

Amazon; San Francisco (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Job summary

Amazon seeks a Sr. Applied Scientist in San Francisco to lead perception systems that fuse radar and thermal imaging with traditional vision. You will build ML-driven perception pipelines, enabling robots to detect, classify, and understand scenes in challenging conditions.

Collaborate across hardware, navigation, and controls to optimize sensor setups and deployment at scale. You will mentor teammates, publish findings in top venues, and contribute to patents while advancing state-of-the-art

Qualifications

• PhD in computer science, electrical engineering, or related field.
• 5+ years of hands-on Computer Vision experience including object detection, segmentation, tracking, or scene understanding.
• Strong expertise in developing and deploying deep learning models for visual perception tasks.
• Experience processing and applying ML-based approaches to radar data and/or thermal imaging.
• Strong experience with deep learning frameworks (PyTorch, TensorFlow, or equivalent).
• Proven track record of delivering perception systems from research to production.

Responsibilities

• 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 and thermal imagery.
• Design and implement multi-modal fusion architectures that combine radar, thermal, camera, and depth data for robust perception.
• Develop novel representations and feature extraction methods tailored to radar and thermal sensors.
• Build end-to-end perception systems from raw sensor data processing to model training, evaluation, and deployment.
• Collaborate 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 and high-impact delivery.
• Publish research findings in top venues and contribute to patents.

Skills

Radar data processing

Deep learning for perception

Multimodal sensor fusion

C++ / Python

Research publication track record

Education

PhD in CS/EE or related field

Tools

PyTorch

TensorFlow

ROS/ROS2

TensorRT

ONNX

Job description

Amazon seeks a Sr. Applied Scientist in San Francisco to lead perception systems that fuse radar and thermal imaging with traditional vision. You will build ML-driven perception pipelines, enabling robots to detect, classify, and understand scenes in challenging conditions.

Collaborate across hardware, navigation, and controls to optimize sensor setups and deployment at scale. You will mentor teammates, publish findings in top venues, and contribute to patents while advancing state-of-the-art