Applied Scientist, Amazon Robotics

What you'll do

• Design, train, fine-tune, and optimize foundation models; prepare training data and reusable data pipelines.
• Run model experiments and validation across scenarios in simulators and on robotic hardware; build evaluation tools and training infrastructure.
• Conduct and document research, and collaborate with scientists, engineers, and robotics hardware teams.

What they ask for

• Currently has or is in the process of obtaining a PhD in computer science, machine learning, engineering, or a related field.
• Publications at top-tier peer-reviewed conferences or journals.
• Programming experience in Java, C++, Python, or a related language.
• Master's degree and experience building machine learning models or developing algorithms for business application.

Nice to have

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

Pay

157,300.00 - 212,800.00 USD annually (base salary)

Tools

Java, C++, Python

AI focus

Develop robotics foundation models, including vision-language-action models, reasoning and task-planning models, and reinforcement learning; use multimodal learning, imitation learning, and reinforcement learning to improve robotic capabilities.