Applied Scientist, Amazon Robotics R&D
Indexed description
Key job responsibilities
- Research, design, implement and evaluate complex computer vision 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.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR).
- Experience programming in Java, C++, Python or related language
- Experience in delivering customer-facing results with computer vision models and ML model training pipelines
- PhD and relevant industry or academic research experience in developing algorithms for robotic computer vision and/or motion planning/control.
- Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation.
- 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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Company - Amazon Development Center Germany GmbH
Job ID: A3207770
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