Applied Scientist, Fauna

Amazon Amazon · Big Tech · Sunnyvale, CA · Applied Science

Research and build advanced semantic and world understanding algorithms for domestic robots, enabling them to observe, understand, and reason about complex environments for autonomous decision making, task planning, navigation, and manipulation. This involves 3D perception, contextual understanding, and world modeling, with a focus on sim-to-real transfer and integration with other robot systems.

What you'd actually do

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

Skills

Required

  • 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

Nice to have

  • History of impactful first-author publications at major journals or conferences
  • Experience bridging research with practical engineering implementation in robotics systems
  • Experience of working with World Models or Foundation Models applied to World Semantic Understanding problem

What the JD emphasized

  • Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
  • Experience bridging research with practical engineering implementation in robotics systems
  • Experience of working with World Models or Foundation Models applied to World Semantic Understanding problem

Other signals

  • Robotics Spatial Intelligence
  • Semantic Understanding
  • World Understanding and Modeling algorithms
  • autonomous decision making
  • task planning
  • navigation
  • manipulation