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We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. The role is to build, analyze and improve peripheral neural interfaces based on surface EMG technology. Research Scientist, CTRL Labs Responsibilities Build, analyze and improve peripheral neural interfaces based on surface EMG.Analyze and develop metrics for deep learning models and experimental datasets Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets. Design experiments, involving human participants, to assess model performance.
Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications.
Preferred Qualifications: Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP).Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).Experience bringing machine learning-based products from research to production.

Also on the board Same function, level within a rung

Level

Lead

Location

New York, NY

Occupation

Computer and Information Research Scientists

Industry

Research and Development in the Physical, Engineering, and Life Sciences

Posted

yesterday

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