Robotics AI Scientist - Dexterous Manipulation & Learning

Amazon Science; Massachusetts; 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 Science is seeking exceptional researchers to advance robotics at scale, combining AI, control systems, and mechanical design for safe human-robot collaboration. You will contribute to dexterous manipulation, locomotion, and perception while advancing practical implementations of ML and robotics frameworks.

The role emphasizes bridging theory and practice, applying deep learning and AI to real-world robotic systems and participating in cross-functional teams across Amazon facilities and

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 related field.
• At least 1 year of relevant academic research or industry experience in Robotics, CV, ML, Optimization, Manipulation, Perception, Motion Planning or related

Responsibilities

• Bridge theory and practical implementation in robotics through research.
• Collaborate with cross-functional teams to advance robotic dexterous manipulation, locomotion, and human-robot interaction.
• Contribute to development of intelligent robotics systems leveraging deep learning and AI techniques.

Skills

Java

C++

Python

Education

PhD in Robotics

Master's degree in a related field

Tools

MATLAB

ROS

Job description

Amazon Science is seeking exceptional researchers to advance robotics at scale, combining AI, control systems, and mechanical design for safe human-robot collaboration. You will contribute to dexterous manipulation, locomotion, and perception while advancing practical implementations of ML and robotics frameworks.

The role emphasizes bridging theory and practice, applying deep learning and AI to real-world robotic systems and participating in cross-functional teams across Amazon facilities and