Applied Scientist, Amazon Robotics R&D
Berlin, Berlin, DEU
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Key job responsibilities
• Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Work closely with software engineering team members to drive scalable, real-time implementations.
• Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
• Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.
• Represent Amazon in academia community through publications and scientific presentations.
• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.
We are looking for applied scientists with expertise in any of the following:
- Computer vision (including but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction)
- Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics)
Basic Qualifications
- PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation.- Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR).
- Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
- Expertise building and testing real-time systems.
- Demonstrated experience incubating and productionizing new technology from idea generation through implementation.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Computer Science Computer Vision Distributed Systems Engineering Java JMLR Machine Learning Mathematics ML models PhD Privacy Prototyping Python R R&D Reinforcement Learning Research Robotics Security SLAM Statistics Testing V-SLAM
Perks/benefits: Conferences
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