**Summary:** Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist, Neuromotor Interfaces Responsibilities: 1. Designing experiments to evaluate and improve the performance and failure modes of consumer-grade, wrist-worn input devices 2. Designing human data collection protocols to generate large datasets for model training and evaluation of novel behaviors under realistic conditions of use 3. Performing ML experiments to inform data requirements and drive model performance improvements 4. Collaborating with hardware and machine learning teams to develop data-based mitigations to in-field signal aggressors 5. Generating insights and tools to improve the efficiency and quality of human data collection studies 6. Guaranteeing the quality and validity of experimental datasets **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. PhD in systems neuroscience, computational neuroscience, machine learning, biophysics, electrical engineering, computer science, statistics, or related fields 9. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) 10. Proficiency with quantitative methods (mathematics, statistics) and experience acquiring new technical knowledge and skills rapidly **Preferred Qualifications:** Preferred Qualifications: 11. 2+ years of experience after PhD working independently to design, execute, interpret, and present research studies 12. Experience in the analysis and modeling of high dimensional time series, such as neural signals, other physiological signals, audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities 13. Experience in deep learning or probabilistic graphical models. Fluency with libraries for deep learning and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn) 14. Experience in software engineering in industry 15. Experience bringing machine learning-based products from research to production **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.