Research Scientist, Neuromotor Interfaces (EMG Signal Validation)

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Research Scientist, Neuromotor Interfaces (EMG Signal Validation)
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Burlingame, CA
Meta is seeking a Research Scientist with deep expertise in product-focused signal processing and sensor development to help us create novel wearable devices and algorithms that will become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. Our team uses machine learning and statistical signal processing tools to advance our pioneering work building a practical, non-invasive, wearable human-computer interface that draws on rich neuromotor signals. We are a multi-disciplinary group of researchers and engineers who work closely with partner hardware, firmware, ML algorithms, and user experience teams to model and understand real-world use cases, set requirements for hardware performance, and develop software strategies to improve signal quality and product performance.
Research Scientist, Neuromotor Interfaces (EMG Signal Validation) Responsibilities
  • Define sensor performance requirements, and characterize the dependencies between sensors and overall system performance, in collaboration with hardware, and algorithms teams.
  • Design and analyze experiments (numerical simulations, bench tests, and human-in-loop studies) to characterize sensor performance under real-world conditions
  • Explore and design new sensing architectures and characterize their impact on downstream ML models and product experience
Minimum Qualifications
  • Ph.D. in computer science, electrical engineering, mechanical engineering, statistics, applied mathematics, signal processing, control theory, machine learning or related technical fields
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Record of peer-reviewed publication demonstrating research excellence
  • 3+ years of experience after PhD in an academic or industry setting developing sensors or algorithms
  • Research-oriented software engineering skills (e.g. SciPy ecosystem)
Preferred Qualifications
  • Experience with human-in-loop sensor development. e.g. biosensors or human-computer input devices such as electrocardiography (ECG), photoplethysmography (PPG), electromyography (EMG), capacitive touch sensing.
  • Experience with design of experiments and test methods for evaluating sensor hardware performance (e.g. aggressor studies and simulations, hardware phantoms)
  • Experience in statistical signal processing, control systems, and machine learning
  • Experience partnering with hardware engineering teams
  • Experience identifying novel research and technical directions, and developing and executing research plans
Locations
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 accommodations-ext@fb.com.
$143,000/year to $208,000/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.
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