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As a Senior Applied Scientist, you will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation. You will help guide and mentor our team of applied scientists and engineers. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a partnership focused team environment.Key job responsibilities
- Architect, design, and implement Machine Learning (ML) models for Computer Vision systems- Maintain 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 equipment
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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