Applied Scientist, Amazon Robotics R&d

vor 1 Tag

Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit

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

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)
- 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.

m/w/d

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