Job Description

Job ID: 2673632 | Amazon.com Services LLC

"Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a collaborative, smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
Amazon Robotics is seeking enthusiastic Applied Scientists with a passion for robotic research. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells."

Key job responsibilities
In this role you will: work with a team of experts in computer vision who can independently take the lead on highly exploratory work. In particular, the team is interested in exploring unifying model architectures to simplify the stack and video based activity understanding tasks. A postdoc with the necessary qualifications would complement the team’s skillset, bringing in necessary know-how on how to push the development for the program.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Operations Research, Machine Learning, Robotics, Computer Vision, AI, Computer Science, Economics, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield

Required application materials:

* CV, which lists all peer-reviewed publications and conferences
* Research statement that outlines your research achievements and future research interests
* A journal article or book chapter that demonstrates your domain expertise

PREFERRED QUALIFICATIONS

* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

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. For individuals with disabilities who would like to request an accommodation, please visit

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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.

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