Drimva

Amazon

Applied Scientist, Fauna Robotics

$143K–$222K

Sunnyvale, CA +1 · Full-time · Posted Oct 12, 2026

Location
Sunnyvale, CA
Bellevue, WA
Experience
3+ years building models for business application; alternatively, a Master's degree and 3+ years of applied research experience.
Education
PhD, or Master's degree and 3+ years of applied research experience.

About the job

Develop and deploy robotics machine-learning models and algorithms for real-world robots, while leading research, experiments, and technical direction.

What you'll do

  • Lead initiatives in robotics foundation models, reinforcement learning, and manipulation; design experiments and novel models or techniques.
  • Train and deploy models in simulation and on robots, identify limitations, and collaborate with engineering teams to improve real-world performance.
  • Mentor scientists, contribute hands-on technically, and communicate research and technical decisions to stakeholders.

What they ask for

  • 3+ years of building models for business application experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals, and a strong publication record at major Robotics/CV conferences.
  • Experience programming in Java, C++, Python or related language; experience with neural deep learning methods and machine learning.
  • PhD, or Master's degree and 3+ years of applied research experience.

Nice to have

  • Hands-on experience deploying Deep Learning models on robots.
  • Experience developing Vision Language Action (VLA) models and/or Reinforcement learning for robot manipulation.

Pay

USD 171,600.00 - 222,200.00 annually (base salary); USD 142,800.00 - 193,200.00 annually (base salary)

Tools

Java, C++, Python, Deep Learning, Vision Language Action (VLA), Reinforcement learning

AI focus

Robotics machine learning, including foundation models, reinforcement learning, manipulation, sim2real transfer, and multi-task learning.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)