Senior 3D Vision Scientist - Robotics & Edge AI

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off

401(k) Plan

Maternity and Parental Leave Options

Job summary

Amazon Robotics is seeking a Senior Applied Scientist to advance 3D perception pipelines for real-time robotic systems in fulfillment centers. You will work on encoder-decoder networks, transformers, and multi-view fusion to enable robust perception at scale.

You will mentor team members, translate research into production, and optimize latency for edge hardware while collaborating with engineering, science, and operations colleagues to deliver end-to-end solutions.

Qualifications

• 4+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Demonstrated expertise in 3D computer vision and deep learning for robotics - spanning semantic scene completion, occupancy prediction, depth estimation, multi-view reconstruction, and real-time model deployment on edge hardware.

Responsibilities

• Architect, design, and implement 3D perception models - including encoder-decoder networks, query-based transformers, and generative architectures- for semantic occupancy prediction and scene completion on robotic platforms.
• Own the end-to-end model lifecycle: develop scalable training pipelines, optimize inference latency for ARM-based edge processors, and deploy production models that meet real-time performance targets.
• Design and scale pseudo-ground-truth data generation pipelines - both heuristic-based and learning-based (e.g., SAM3D, shape completion) to produce curated training samples using SageMaker infrastructure.
• Drive multi-view perception integration by fusing multiple view camera inputs for robust 3D reconstruction in partially observed and occluded bin environments.
• Influence the team's technical strategy and contribute to the long-term vision and roadmap for 3D perception in fulfillment robotics.
• Partner with cross-functional stakeholders across engineering, science, and operations teams to define requirements, iterate on system design, and deliver end-to-end solutions from research prototype to production deployment.
• Maintain high standards by participating in design and code reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.
• Prototype and validate concepts through simulation, synthetic data evaluation, and live robotic workcell testing using 3D metrics (mIoU, IoU) and affordance-based evaluation frameworks.
• Mentor applied scientists and engineers, raise the technical bar, and foster a culture of scientific rigor and rapid experimentation.

Skills

3D computer vision

Deep learning

Robotics

Edge deployment

Education

PhD or Master’s + 6+ years

Tools

Java

C++

Python

ONNX

TensorRT

Job description

Amazon Robotics is seeking a Senior Applied Scientist to advance 3D perception pipelines for real-time robotic systems in fulfillment centers. You will work on encoder-decoder networks, transformers, and multi-view fusion to enable robust perception at scale.

You will mentor team members, translate research into production, and optimize latency for edge hardware while collaborating with engineering, science, and operations colleagues to deliver end-to-end solutions.