Applied Scientist - Computer Vision / Amazon Robotics

Job ID: 1555146 | Amazon.com Services LLC

DESCRIPTION

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 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.

We are looking for experienced truly innovative scientists and engineers to explore new ideas, invent new approaches, and develop new solutions.

If you have expertise in Computer Vision, with extensive industry experience and have:
· the ability to think big and conceive of new ideas and novel solutions;
· the insight to correctly identify those worth exploring;
· the hands-on skills to quickly develop proofs-of-concept;
· the rigor to conduct careful experimental evaluations;
· the discipline to fast-fail when data refutes theory;
· and the fortitude to continue exploring until your solution is found
Come join us to invent the future and change the world.

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility
It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

BASIC QUALIFICATIONS

· PhD in Engineering, Technology, Computer Science, Machine Learning, Robotics, Statistics, Mathematics or a related quantitative field.
· 2+ years of relevant Industry or Academic applied research experience in Computer Vision.
· 1+ years experience programming in Java, C++, Python or any object oriented language.
· Experience with building models and implementing algorithms on real robots or realistic simulations using Computer Vision.
· Ability to work on a diverse team or with a diverse range of coworkers.

PREFERRED QUALIFICATIONS

· PhD and 5+ years of relevant industry, post-doc or academic applied research experience in Computer Vision.
· 2+ years experience programming in Java, C++, Python or related language.
· Depth and breadth in state-of-the-art computer vision and machine learning technologies.
· Scientific mindset and the ability to invent and problem-solve.
· Drive and experience to apply algorithm research to real systems. Ability to develop practical solutions to complex problems.
· Strong record of patents and innovation or publications in top-tier peer-reviewed conferences or journals.
· Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly.
· Experience with designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture).
· Understanding of Software Development Life Cycle (SDLC) and project planning/execution skills including estimating and scheduling.
· Excellent communication and collaboration skills

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 https://www.amazon.jobs/en/disability/us

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.