AmazonPosted 4mo ago

Postdoctoral Scientist, Amazon Robotics R&D

Postdoctoral Scientist, Amazon Robotics R&D at Amazon scores 86 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

DE, BE, Berlinfull-time

AI in this role

pytorch

computer-vision

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

The Amazon Robotics team in Berlin was formed in 2022 and works to automate picking operations in Amazon fulfillment centers by retrofitting existing stations with robotic manipulators.

We are looking for Postdoctoral Scientists to work at the intersection of computer vision and robotic manipulation — supporting innovations that will be deployed to real warehouses at global scale.

Our team develops both the hardware and the software — including the machine learning that makes it work.

We are developing solutions that let robots identify individual items out of millions and interact with the fabric pods where they're stored in clutter.

The core technical challenges include understanding cluttered 3D scenes with hundreds of overlapping items, identifying a specific target among them, and planning manipulation strategies to extract or place it — all in real time, on real hardware.

The solution space is deliberately open-ended. We're looking for researchers who want to push the boundaries of perception and manipulation — and see their work running on robots within months.

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

Basic qualifications

- PhD in a relevant field received within 2 years of starting the program
- Proven publication record in computer vision, robotics or other related technical fields
- Experience in item perception and manipulation
- Proficiency in technologies relevant to the subfield
- Speak, write, and read fluently in English

Preferred qualifications

- Experience of making research work in practice — turning ideas into implementations that run on real systems, not just in simulation or on paper
- Strong programming skills in Python and C++; familiarity with frameworks like PyTorch, ROS, Open3D, or MoveIt
- Experience working with real robot hardware — bridging the sim-to-real gap, dealing with sensor noise, calibration, and physical constraints
- Experience designing experiments and performing rigorous statistical analysis of results
- Ability to make principled tradeoffs between model accuracy, inference speed, and system constraints

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.

m/w/d

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.

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Skills and AI tools this role asks for

Computer VisionPyTorch

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used PyTorch in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

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List these exact terms on your resume: Computer Vision and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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