Applied Science Manager, Amazon Robotics

What you'll do

• Partner with business, science, engineering, and product teams to accelerate technology development and launch robotic automation solutions.
• Define science and engineering strategy, product features, system architecture, and development best practices.
• Build and develop the team, including hiring and creating career plans for scientists and engineers.

What they ask for

• PhD in a listed quantitative field or equivalent, or a Master's degree and 4+ years of industry or academic research experience.
• 6+ years of applied research experience and 3+ years of scientists or machine learning engineers management experience.
• Programming experience in Java, C++, Python or a related language; experience building machine learning models or developing algorithms for business applications.
• Knowledge of software/hardware/network development practices and strong understanding of robotics, computer vision, and machine learning.

Nice to have

• Experience building complex software systems involving deep learning, machine learning, and computer vision successfully delivered to customers.

Pay

183,800.00 - 248,700.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary)

Tools

Java, C++, Python, deep learning, machine learning, computer vision, 3D Geometry, deep neural networks

AI focus

Develops robotics and manipulation capabilities involving perception and grasp learning, machine learning models, generative AI, behavioral cloning, and diffusion policies.