Research Engineer - Neuromotor Interfaces

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the potential of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years experience with developing machine learning models at scale from inception to business impact Research experience in machine learning and deep learning Experience with architectural patterns of large scale software applications Programming experience in Python and hands-on experience with frameworks such as PyTorch Masters degree in Computer Science, Computer Engineering, or relevant technical field First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) Experience with rapid prototyping and disciplined software development processes Experience with productizing new research results Ph.D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields

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