Postdoctoral Scientist , Vulcan Pick in Berlin bei Amazon Development Center DEU

Amazon Development Center DEU

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

Amazon is looking for talented Postdoctoral Scientists to join our Vulcan team for a one-year, full-time research position.

The Vulcan team focuses on solving computer vision and manipulation challenges in Amazon warehouses. Specifically, the team evaluates the feasibility of automating the operations with fabric pod storage. The technical challenges include 3D scene understand for items in clutter, identification of target items in the scene, and placement and/or removal of target items. As the solution space is open ended, the team is looking for postdoc candidates who are excited to apply and advance the state-of-the-art algorithms to this domain.

Key job responsibilities

In this role you will:

• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
• 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

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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