Applied Scientist: Robotics Spatial Intelligence

Amazon Inc.; Seattle (WA); Hybrid; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Fauna Robotics, an Amazon company, seeks an Applied Scientist to advance robotics spatial intelligence and semantic understanding. You will research and build world-understanding algorithms enabling domestic robots to observe, understand, and reason about dynamic home environments.

You will collaborate across perception, planning, and control, perform sim-to-real transfers, and publish results at major conferences. Strong PhD/MS with 4+ years of research and Python/C++ proficiency required.

Qualifications

• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• 4+ years of industry or academic research experience.
• Experience leading technical initiatives and key deliverables.
• Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR).
• Experience programming in Python, C++, or related language.

Responsibilities

• Develop and implement robust World Understanding and Modeling algorithms for a domestic robot.
• Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of Our Spatial Intelligence stack.
• Conduct sim-to-real transfer experiments, analyzing performance gaps and developing techniques to ensure reliable real-world performance.
• Collaborate with navigation, manipulation, and other teams to ensure seamless integration of World Understanding capabilities.
• Stay current with the latest advances in World Modeling, Spatial Reasoning, and related fields and apply relevant findings to improve system performance.

Skills

Python

C++

Machine learning

Education

PhD or Master’s degree in CS/CE/ML

Tools

Python

Job description

Fauna Robotics, an Amazon company, seeks an Applied Scientist to advance robotics spatial intelligence and semantic understanding. You will research and build world-understanding algorithms enabling domestic robots to observe, understand, and reason about dynamic home environments.

You will collaborate across perception, planning, and control, perform sim-to-real transfers, and publish results at major conferences. Strong PhD/MS with 4+ years of research and Python/C++ proficiency required.