Meta Careers
Research Scientist - Neuromotor Interfaces
Meta Careers, Burlingame, California, United States, 94012
Research Scientist - Neuromotor Interfaces
Meta is seeking Research Scientists with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of neuromotor interfaces and augmented reality systems. Help us unleash human potential by removing the bottlenecks between user intent and action.
Base pay range 147,000.00/yr - 208,000.00/yr
Responsibilities
Collaborate with hardware and machine learning teams to define sensor performance requirements and characterize the dependencies between sensors and overall system performance.
Explore and design new sensing architectures and characterize their impact on downstream ML models and their requirements.
Build simulation tools and use them to explore sensor performance.
Develop methodologies and tools to simulate biophysical signals and their approximations.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Ph.D. in Machine Learning, AI, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Data Science, Signal Processing, Optimization or related technical fields.
Proven track record of publications demonstrating experience in research.
Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB).
Preferred Qualifications
Experience with human-in-loop sensor development (e.g., biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc.).
Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g., aggressor studies and simulations, hardware phantoms).
Demonstrated experience of statistical signal processing skills.
Experience working in consumer hardware engineering.
Experience building user interaction systems and/or working in human-computer interaction.
Experience shipping consumer hardware products at large scale.
Experience defining research/technical direction for a team and supporting the work of a small group of researchers toward those goals.
Equal Employment Opportunity Statement 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 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. 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.
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Base pay range 147,000.00/yr - 208,000.00/yr
Responsibilities
Collaborate with hardware and machine learning teams to define sensor performance requirements and characterize the dependencies between sensors and overall system performance.
Explore and design new sensing architectures and characterize their impact on downstream ML models and their requirements.
Build simulation tools and use them to explore sensor performance.
Develop methodologies and tools to simulate biophysical signals and their approximations.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Ph.D. in Machine Learning, AI, Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Data Science, Signal Processing, Optimization or related technical fields.
Proven track record of publications demonstrating experience in research.
Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB).
Preferred Qualifications
Experience with human-in-loop sensor development (e.g., biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc.).
Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g., aggressor studies and simulations, hardware phantoms).
Demonstrated experience of statistical signal processing skills.
Experience working in consumer hardware engineering.
Experience building user interaction systems and/or working in human-computer interaction.
Experience shipping consumer hardware products at large scale.
Experience defining research/technical direction for a team and supporting the work of a small group of researchers toward those goals.
Equal Employment Opportunity Statement 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 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. 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.
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