Applied Scientist II - Robotics & AI for Autonomous Systems

Amazon Inc.; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking exceptional talent to develop the next generation of advanced robotics systems at scale. You will join a team pushing the boundaries of dexterous manipulation, locomotion, and human-robot interaction, applying deep learning and large language models to practical robotics challenges.

The role offers the chance to contribute from research to implementation, collaborating with world-class teams across facilities and product lines, and benefiting from Amazon’s

Qualifications

• Experience programming in Java, C++, Python or related language
• PhD, or Master’s degree and 2+ relevant robotics experience, in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field
• At least 1 year of relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related
• Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
• PhD in Robotics
• Experience with low-level joint torque/impedance control
• Experience with teleoperation systems
• Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)

Skills

C++

Java

Python

Education

PhD or Master’s in CS/Robotics/Engineering/ML/OR/Math

Tools

Matlab

ROS

Job description

Amazon.com Services LLC is seeking exceptional talent to develop the next generation of advanced robotics systems at scale. You will join a team pushing the boundaries of dexterous manipulation, locomotion, and human-robot interaction, applying deep learning and large language models to practical robotics challenges.

The role offers the chance to contribute from research to implementation, collaborating with world-class teams across facilities and product lines, and benefiting from Amazon’s