Research Engineer, Neuromotor Interfaces

Research Engineer, Neuromotor Interfaces
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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.
Research Engineer, Neuromotor Interfaces Responsibilities
  • Plan and execute cutting-edge applied research to advance neuromotor interface capabilities.
  • Design experiments to collect neuromotor and interaction data and evaluate human and model performance.
  • Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.
  • Define short-term research goals, informed by practical engineering concerns.
  • Collaborate with research scientists and research engineers to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.
  • Help transition and deliver our work from research into product.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Research-oriented software engineering skills, including fluency in python and in libraries for scientific computing (e.g. SciPy ecosystem, Pandas)
  • Masters degree in Computer Science, Computer Engineering, or relevant technical field.
  • Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Exposure to architectural patterns of large scale software applications.
  • Experience with interdisciplinary and/or cross-cultural collaboration.
Preferred Qualifications
  • PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, or related fields.
  • Autonomously set technical and research direction.
  • Comfort with rapid prototyping and disciplined software development processes.
  • Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration.
  • Experience in software engineering in industry.
  • Experience bringing machine learning-based products from research to production.
  • Experience with scientific communication tools (Jupyter, Matplotlib).
  • Research and software engineer experience demonstrated via an internship, contributions to open source, work experience, or coding competition
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$56.25/hour to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at
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