
AI Research Scientist- Reinforcement Learning and Multi-Agent Learning
As a research scientist on this team, you will conduct end-to-end research on open problems at the intersection of single/multi-agent RL, agent-based modeling, game theory and mechanism design. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams. You will be integral to all aspects of the research lifecycle such as formulating problems, generating hypotheses, developing new algorithms and models, conducting experiments, synthesizing results, gathering data, building prototypes and communicating the significance of your research. Your output will result in publications in AI/ML conferences and journals, high-impact business applications, open source software and patents.
Research publications in prominent AI/ML venues; e.g., conferences, journals
Proficient understanding of fundamental AI and ML techniques; e.g., A*, regularization
Comfort with rapid prototyping and disciplined software development processes
Python
Java
C++
Pytorch
Statistical data analysis
Time Management Skills
Tensorflow/Keras
Rapid prototyping techniques
Agent-based modeling
Verbal communication
written communication
Problem-solving and resourcefulness
Detail Oriented and Organized
Multi tasker
Driven for excellence
According to JobzMall, the average salary range for a AI Research Scientist- Reinforcement Learning and Multi-Agent Learning in 1880 John F Kennedy Blvd, Philadelphia, PA 19103, USA is between $102,903 and $125,605.
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JPMorgan Chase Bank, N.A., doing business as Chase Bank, is a national bank headquartered in Manhattan, New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase.

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