Research Engineer - Neuromotor Interfaces

Summary :

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.

Required Skills :

Research Engineer - Neuromotor Interfaces Responsibilities :

Research and develop Deep Learning or other computational models with at least one of Computer Vision, 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 methods to best utilize modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications :

Minimum Qualifications :

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

Preferred Qualifications :

Preferred Qualifications :

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

Public Compensation :

$85.10 / hour to $251,000 / year + bonus + equity + benefits

Industry : Internet

Equal Opportunity :

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.