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 Hardware Research Scientist, EMG - US

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Location: Redmond, WA

Company Category: Meta Quest

Job Title: Hardware Research Scientist, EMG


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.

Job Responsibilities 

Hardware Research Scientist, EMG Responsibilities

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> 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


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

$116,000/year to $168,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. 


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