Applied Science Manager, Amazon Robotics

The Manipulation Robotics organization at Amazon Robotics is at the forefront of building adaptable and intelligent robotics and manipulating capabilities for Amazon’s fulfillment centers. We have developed and deployed solutions at scale, such as Robin which has sorted more than 3B sorted packages. Our next generation systems include item manipulation systems such as Sparrow which manipulates 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 looking for an Applied Science Manager that is passionate not only about solving today’s complex robotic manipulation problems, but also about shaping and setting the visions for their team, and identifying what are the next set of priorities to tackle. They would partner with a talented and experienced team of applied scientists and engineers that have significant expertise developing and deploying technologies including building foundation models for perception and grasp learning, diffusion policies and sim2real transfer.

Key job responsibilities
As a manager of the team, you will be working with business partners, applied and research scientists, software development engineers, and product managers to accelerate technology development and and launch new automation solutions for robots across Amazon Robotics. You will have significant influence on our overall strategy by helping define science and engineering strategy, define product features, drive system architecture, and spearhead the best-practices that enable a quality product. You will learn a variety of technologies, development processes, and develop well-rounded skills such as leadership, and effective project management. You will also be responsible for building a strong development team and developing career plans for the scientists and engineers reporting to you.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of industry or academic research experience
- 6+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- Experience programming in Java, C++, Python or 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 livesite operations
- Experience building machine learning models or developing algorithms for business application
- Experience hiring and growing top talent
- Strong understanding of robotics, computer vision and machine learning (Grasping, 3D Geometry, classical computer vision and deep neural networks)- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.