Job Description

At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. As a Hardware Research Scientist, you will collaborate with other research scientists and engineers in Meta Reality Labs to develop hardware technologies primarily in the domain of electromyography wristbands. In doing so, you will contribute to the development of next-generation AR/VR products and prototypes.

Hardware Research Scientist, EMG Responsibilities:

• Collaborate with research scientists and software & hardware engineers in the design and implementation of measurement methods (tools, protocols, analysis) to quantify and characterize the device-body interface.
• Design and run user studies in collaboration with scientists and the user studies team.
• Analyze quantitative data from sensors, e.g., motion capture systems, force sensors, accelerometers, etc., recorded from experiments to draw insights relevant to EMG wristband design and performance.
• Develop software for experiments with Python, or MatLab.

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.
• PhD in computational neuroscience, biomedical engineering, statistics, or equivalent experience.
• 1+ year(s) experience in a research/software/data engineering role with emphasis on applied statistics and/or machine learning, or equivalent academic experience.
• Familiarity with programming languages used in the above domains such as Python, Matlab.
• Understanding of basic concepts in statistics, including but not limited to random variable, estimator, expected value, variance, regression, linear models.

Preferred Qualifications:

• Familiarity with user-focused research in areas such as neuroscience, human factors, or user experience.
• Graduate coursework and/or degree in one of the relevant domains listed above.
• Familiarity with other programming languages used in the above domains such as Matlab, R, Python, C++, and/or C# (Unity).
• Basic understanding of sensorimotor processes.
• Prior experience with biosignals including EMG, EEG, ECOG, electrical impedance and time and frequency domain signal processing techniques.

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.