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Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds. 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.
Job Responsibility:
Research and develop Deep Learning or other computational models
Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
Set technical direction for a project of 2-3 researchers and engineers
Help transition and deliver our work from research into product
Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
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