[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Burlingame, CA +2 more # Research Scientist Intern, AI-Driven Neural Interfaces (PhD) Burlingame, CA +2 more Early career Research & Science Listed on Meta Platforms’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1436615821934863/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist Intern, AI-Driven Neural Interfaces (PhD) ## Job description Reality Labs at Meta is looking for PhD research interns to advance our pioneering work in neural interfaces, which grew out of the acquisition of CTRL-labs. We're building a practical interface that draws on rich signals measured non-invasively from the body, including surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG). This technology could become one of the main pillars for interaction with virtual and augmented realities. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will join a world-class, multi-disciplinary team of researchers. You'll investigate the nature of human neuromotor and other sensor signals, develop new signal processing and machine learning methods to infer a user's intent, and help create AI-first new interaction techniques and user experiences. Our internships are twelve (12) to twenty-four (24) weeks long, and we have various start dates throughout the year. ## Responsibilities Research and develop neural networks, machine learning, or other computational models that use EMG, IMU and other relevant sensor data to advance neural interface capabilities. Design methods, tools, and infrastructure to analyze and make use of rich multimodal datasets. Adapt machine learning methods to modern parallel computing environments (e.g., distributed clusters and GPUs). Work with engineering and Human-Computer Interaction (HCI) teams to turn research into new technology and user experiences. Use quantitative research methods to define, iterate on, and advance key areas of our research agenda. ## Qualifications Currently has, or is in the process of obtaining, a PhD in machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or a related field Research-oriented implementation skills, including fluency in scientific Python and deep learning frameworks such as PyTorch, as shown by academic or professional research experience or contributions to open source projects Experience in machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, and/or natural language processing Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Intent to return to degree program after the completion of the internship Experience working with biosignals or wearable sensor data (e.g., EMG, IMU, PPG, EEG) Experience with multi-channel array processing or real-time signal processing Experience with sequence modeling of time-series data Experience training machine learning models at scale, including distributed or multi-GPU training on large datasets Experience moving machine learning research into prototypes or products Experience in software engineering in industry, including prior internships ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 7 days - Location: Burlingame, CA +2 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1436615821934863/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Product Design Prototyper, Human Interface](https://jobs.opennash.com/companies/meta-platforms/jobs/40518ec7f535937e0829/) Burlingame, CA +2 more ### [Product Designer, Human Interface](https://jobs.opennash.com/companies/meta-platforms/jobs/96c53457fd9e593bcdd1/) Burlingame, CA +2 more ### [AI Research Assistant (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/7e45c6d881e3d2a278ac/) Paris, France ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Manager - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/2b9038fb99fde6a938ed/) Menlo Park, CA ## Similar jobs at other companies ### [Senior Research Scientist, Graph Neural Network](https://jobs.opennash.com/companies/alphabet/jobs/a238810d8497722f05da/) Alphabet · New York, NY, USA ### [Research Scientist, Neural Rendering, Google Beam](https://jobs.opennash.com/companies/alphabet/jobs/d5f0ba5428546b26bd37/) Alphabet · Seattle, WA, USA +1 more ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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