Applied Scientist — Robotics & Perception for Home Bots

Amazon; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Signing bonus

Job summary

Amazon Fauna Robotics is seeking an Applied Scientist to push state-of-the-art robotics techniques, spanning perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning. You will lead technical initiatives, mentor scientists, and collaborate with software engineers to deploy robust solutions in home environments.

The role emphasizes first-principles problem solving, cross-functional collaboration, and delivering impactful real-world robotic systems.

Qualifications

• 3+ years building models for business applications.
• Experience in patents or publications at top-tier conferences.
• Experience programming in Java, C++, Python or related language.
• PhD, or Master’s degree and 3+ years of applied research experience.
• Experience with neural deep learning methods and machine learning.
• Strong publication record at major Robotics/CV conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).

Responsibilities

• Lead technical initiatives in robotics foundation models, RL and manipulation.
• Design and implement novel deep learning architectures for robot understanding and action.
• Mentor scientists while contributing technically.
• Collaborate with engineering teams to optimize models for real-world use.
• Influence technical decisions within your focus area.
• Communicate complex work to non-technical audiences.
• Handle ambiguity and evolving goals with minimal guidance.

Skills

Years of experience

Deep learning

Publications

Programming

Education

PhD or MSc with 3+ years applied research

Tools

Java

C++

Python

Job description

Amazon Fauna Robotics is seeking an Applied Scientist to push state-of-the-art robotics techniques, spanning perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning. You will lead technical initiatives, mentor scientists, and collaborate with software engineers to deploy robust solutions in home environments.

The role emphasizes first-principles problem solving, cross-functional collaboration, and delivering impactful real-world robotic systems.