Applied Science Manager, Amazon Robotics

About the role

The Manipulation Robotics Organization at Amazon Robotics is at the forefront of building adaptable and intelligent robotics and manipulation capabilities for Amazon’s fulfillment centers. We have developed and deployed solutions at scale, such as Robin, which has sorted more than 3 billion packages, and Sparrow, our next-generation item manipulation system that picks and places individual items from cluttered totes. We use state-of-the-art methods in robotics, perception, grasping, generative AI, and behavioral cloning to invent the future for Amazon’s fulfillment centers.

We are seeking an Applied Science Manager who is passionate about solving today’s complex robotic manipulation problems while shaping the vision and priorities for their team. You will partner with a talented and experienced team of applied scientists and engineers with expertise in developing and deploying technologies, including foundation models for perception and grasp learning, diffusion policies, and sim2real transfer.

Responsibilities

• Collaborate with business partners, applied and research scientists, software development engineers, and product managers to accelerate technology development and launch new automation solutions for robots across Amazon Robotics.
• Define science and engineering strategy, product features, system architecture, and best practices to enable high-quality product development.
• Drive leadership, effective project management, and cross-functional influence to shape Amazon Robotics’ overall strategy.
• Build and develop a strong team of scientists and engineers, including career planning and growth for direct reports.

Requirements

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field; or a Master's degree with 4+ years of industry or academic research experience.
• 6+ years of applied research experience.
• 3+ years of experience managing scientists or machine learning engineers.
• Experience programming in Java, C++, Python, or a related language.
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live-site operations.
• Experience building machine learning models or developing algorithms for business applications.
• Strong understanding of robotics, computer vision, and machine learning (grasping, 3D geometry, classical computer vision, and deep neural networks).

Preferred Qualifications

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

Benefits

• Medical, dental, and vision coverage.
• Maternity and parental leave options.
• Paid time off (PTO).
• 401(k) plan with company matching.
• Sign-on payments and restricted stock units (RSUs).
• Adoption and surrogacy reimbursement coverage.
• Employee Assistance Program (EAP) and mental health support.
• Flexible Spending Accounts (FSA).
• Basic Life & AD&D insurance, with options for supplemental life plans.

Learn more about our benefits at amazon.jobs/en/benefits.

Pay

Base salary range:

• USA, MA, North Reading: $183,800 - $248,700 USD annually.
• USA, VA, Arlington: $183,800 - $248,700 USD annually.

Final compensation will be determined based on experience, qualifications, and location.