Senior Applied Scientist, Edge Vision for Robotics

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

Job summary

Amazon Robotics in North Reading, MA is seeking a Senior Applied Scientist specializing in computer vision and robotics to advance sensing hardware. You will develop ML and perception algorithms, influence sensor selection and edge compute, and push production-ready solutions from prototype to deployment.

You will collaborate with principal engineers across sensing, compute, and optical design, mentoring teams and delivering impact across hundreds of robots in Amazon’s fulfillment network.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• Experience in building complex ML/vision systems deployed to customers.
• Deep learning, computer vision, and edge deployment expertise.

Responsibilities

• Develop and optimize computer vision and deep learning models for robotic perception for edge deployment.
• Lead ML experimentation and validation to inform hardware architecture decisions.
• Design benchmarking frameworks to evaluate sensing hardware performance.
• Collaborate with hardware, software, and robotics teams to transition from prototype to production.
• Mentor engineers on ML best practices for embedded systems and production robotics.
• Publish and present research advancing robotic perception.

Skills

Java

C++

Python

Deep learning

Computer vision

Education

PhD or Master’s + 6+ years

PhD or PhD + 4+ years (preferred)

Tools

PyTorch

TensorFlow

Job description

Amazon Robotics in North Reading, MA is seeking a Senior Applied Scientist specializing in computer vision and robotics to advance sensing hardware. You will develop ML and perception algorithms, influence sensor selection and edge compute, and push production-ready solutions from prototype to deployment.

You will collaborate with principal engineers across sensing, compute, and optical design, mentoring teams and delivering impact across hundreds of robots in Amazon’s fulfillment network.