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In this position, you will own the science of depth estimation and spatial reasoning. You will improve the algorithms that drive the perception systems across a broad range of problem spaces in the robotics fleet.
Key job responsibilities
Architect, design, and implement vision systems for robotic platformsMaintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.Prototype and test concepts or features, both through simulation and emulators and with live robotic equipmentA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience applying theoretical models in an applied environment
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- PhD and 2+ years of relevant industry, post-doc or academic applied research experience in Robotics. Machine Learning, Computer Vision or Perception.
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