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Applied Research Associate Jobs
Company | JPMorgan Chase & Co. |
Address | New York, NY, United States |
Employment type | INTERN |
Salary | |
Category | Financial Services |
Expires | 2023-08-29 |
Posted at | 9 months ago |
JP Morgan Chase & Co.'s research technology strategy and direction are oriented through investigation and research of emerging technologies, such as Virtual and Augmented Reality, Computer Vision, Responsible Machine Learning. Our team is seeking passionate technologists and thought leaders to perform applied research and development of novel solutions in these fields. As a key member of the Global Technology Applied Research (GTAR) team, you will work closely with internal project teams, senior management, and external communities alike to advance these research focus areas in a way that is beneficial to the technical teams in the company. You will cultivate investigations into these areas, produce research and prototype solutions and contribute to the firm's intellectual property.
- Work with other researchers to document your findings in scientific papers
- Provide novel research solutions to problems faced by internal project teams
- Advance the field of computer vision and machine learning.
- Contribute to JPMC's IP by pursuing necessary protections of generated IP
- Excellent knowledge of Python programming, and familiar to related deep learning frameworks
- No prior experience in financial markets required
- Experience in scientific technical writing, as well as grant applications or research proposals
- Enrolled in a master's or Ph.D. degree program in math, science, engineering, computer science or related fields
- Strong communication skills and the ability to present findings to a non-technical audience
- Working knowledge of common research evaluation frameworks and techniques
- Experience in responsible machine learning, 3D computer vision, efficient video analytics are advantages
- Excellent analytical, quantitative and problem solving skills and demonstrated research ability
- 1+ years of experience with computer vision and machine learning algorithms and applications
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