**Summary:** 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. **Required Skills:** Research Scientist - Neuromotor Interfaces Responsibilities: 1. Collaborating with hardware and machine learning teams to define sensor performance requirements as well as characterize the dependencies between sensors and overall system performance 2. Exploring and designing new sensing architectures and characterizing their impact on the downstream ML models and their requirements 3. Building simulation tools and use them to explore sensor performance 4. Developing methodologies and tools to simulate biophysical signals and their approximations **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields 7. Proven track record of publication demonstrating experience in research 8. Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB) **Preferred Qualifications:** Preferred Qualifications: 9. 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) 10. Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g. aggressor studies and simulations, hardware phantoms) 11. Demonstrated experience of statistical signal processing skills 12. Experience working in consumer hardware engineering 13. Experience building user interaction systems and/or working in human-computer interaction 14. Experience shipping consumer hardware products at large scale 15. Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.