Research Scientist in Machine Learning

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Summary: Join the innovative Reality Labs team at Meta, where we are at the forefront of developing neuromotor interfaces. We are seeking talented Research Scientists who are excited about product-driven machine learning and signal processing research. Building on the groundbreaking work from CTRL-labs, our mission is to create transformative interfaces that leverage non-invasive surface electromyography (EMG) technology, achieving astonishing precision down to single motor neuron resolution. This cutting-edge technology has the power to redefine how users interact in virtual and augmented environments. As a member of our diverse research team, you will delve into human neuromotor signals, develop advanced signal processing and machine learning methods, and design unique user experiences. Help us unlock human potential by bridging the gap between user intent and action. Responsibilities: Research and develop advanced computational models, including Deep Learning techniques. Design and create tools and infrastructure to analyze and utilize large multimodal data sets. Lead a small project team of researchers and engineers by providing technical direction. Guide the transition from research phase to product deployment, ensuring successful implementation. Adapt standard machine learning techniques to optimize performance in modern parallel environments, including distributed clusters, multicore systems, and GPU computing. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related disciplines. Demonstrated experience in developing scalable machine learning models that lead to significant business outcomes. Strong programming ability in Python, with hands-on experience using frameworks like PyTorch. Knowledge of architectural patterns for large-scale software applications. Must have authorization to work in the country of employment at the time of hire, and maintain it for the duration of employment. Preferred Qualifications: Proven success in research, demonstrated through impactful contributions such as grants, fellowships, patents, or first-authored publications at prestigious AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP). Experience in software engineering through relevant internships, professional experience, competitive programming, or significant open-source project contributions (e.g., GitHub). A history of bringing machine learning products from conception to full-scale production. Public Compensation: $184,000/year to $257,000/year + benefits Industry:
Internet Equal Opportunity: Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, age, veteran status, disability, or other legally protected characteristics. We also welcome qualified applicants with criminal histories, consistent with applicable laws. Meta participates in the E-Verify program in certain locations where required by law. Please note that Meta may use artificial intelligence and machine learning technologies during the application process. We are committed to providing reasonable accommodations for candidates with disabilities throughout the recruiting process. If you require assistance or accommodations due to a disability, please reach out to us.

United States

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English

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