Applied Scientist, Amazon Robotics

What you'll do

• Design, train, fine-tune, and optimize foundation models through iterative experiments.
• Prepare training data and reusable pipelines; validate model performance in simulation and on robotic hardware.
• Develop code, training infrastructure, and evaluation tools, and contribute to robotics research and collaboration.

What they ask for

• PhD, or Master's degree and 4+ years of experience building machine learning models or developing algorithms for business applications.
• 2+ years of experience in deep learning, computer vision, human robotic interaction, or algorithms implementation.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Programming experience in Java, C++, Python or related language; experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

• Experience designing state-of-the-art deep learning model architectures and with deep learning training, optimization, and model pruning.
• Experience applying theoretical models in an applied environment.

Pay

171,600.00 - 222,200.00 USD annually (base salary)

Tools

Java, C++, Python

AI focus

Build and train robotics foundation models, including vision-language-action models, reasoning and task-planning models, and reinforcement learning; apply multimodal learning, imitation learning, and reinforcement learning to robotic perception, task learning, and adaptation.