The principal machine learning researcher will lead advanced exploratory research and development projects in reinforcement learning and machine learning to create highly innovative customer solutions. The scientist will lead the development of production quality perception and sequential planning algorithms using data from structured (IoT) and unsutrctured (computer vision and NLP) sources.
Essential Duties and Responsibilities:
· Conduct theoretical/empirical research and development into sequential decision making and large-scale, open-ended learning.
· Prototype and productize microservices using Python or C++.
· Participate in daily standups in adherence to typical software development life-cycle.
· Contribute to the research community by publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, AISTAS and AAMAS).
· Work with external collaborators (universities and startups) and foster relationships in reinforcement learning domains, multi-agents systems, control systems, game theory, and other topics of relevance to machine learning and theoretical statistics.
· Contribute research that can be applied to Zebra product development
· Superior verbal and written communication skills, including explaining the technology and its business/customer implications to executives and customers.
· Individual Contributor position that requires mentorship of PhD level scientists and engineers. Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified.
