Research Engineer - Reality Labs

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, motor learning, AR/VR 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 capabilities 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.

Research Engineer - Reality Labs Responsibilities

• Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing.


• Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.


• Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.


• Define short-term research goals, informed by practical engineering concerns.


• Help transition and deliver our work from research into product.


• Adapt standard machine learning and signal processing methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• Masters degree in Computer Science, Computer Engineering, or relevant technical field.


• Experience with developing machine learning models at scale from inception to business impact.


• Research experience in machine learning, deep learning, computer vision and/or natural language processing.


• Programming experience in Python and hands-on experience with frameworks such as PyTorch.


• Exposure to architectural patterns of large scale software applications.

Preferred Qualifications

• Ph.D. degree and publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.


• First-author publications at peer-reviewed AI or signal processing conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).


• Comfort with rapid prototyping and disciplined software development processes.


• Experience with productizing new research results.

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