[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 · New York, NY # Research Scientist, Machine Learning for Wearables New York, US Full-time Data & Analytics Listed on Meta Platforms’s official careers site. Posted October 14, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1486440256877876/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist, Machine Learning for Wearables ## Job description 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) and IMU with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented realities. 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 improve the speed and accuracy of neuromotor interfaces by reducing latency between user intent and action. ## Responsibilities - Research and development of neural networks, machine learning, or other computational models by leveraging one or more of EMG, IMU, and/or PPG signals and other relevant data - Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets - Help transition and deliver our work from research into a product - Adapt standard machine learning methods to best leverage modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU) ## Qualifications Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. A degree must be completed prior to joining Meta Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Mathematics, or a relevant technical field Programming experience in Python and hands-on experience with frameworks such as PyTorch Experience with developing machine learning models at scale Experience with architectural patterns of large-scale software applications Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) Experience bringing machine learning-based products from research to production Experience in software engineering in the industry ## At a glance - Posted by the employer: Oct 14, 2026 - First seen by OpenNash: Oct 18, 2026 - Last checked: Oct 18, 2026 - Listed for: 4 days - Location: New York, US - Employment type: Full-time[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1486440256877876/) ## More jobs at Meta Platforms ### [Content Policy Associate Manager, Actor & Behavioral Policy](https://jobs.opennash.com/companies/meta-platforms/jobs/7b4209d2f2692f63974a/) New York, US ### [Product Communications Manager, Threads](https://jobs.opennash.com/companies/meta-platforms/jobs/92f07eaecbd60f8e393d/) New York, US ### [Product Designer, Content Foundations - Instagram Design Systems](https://jobs.opennash.com/companies/meta-platforms/jobs/3025e266dba15e661f44/) New York, US ### [Program Manager, Strategic Initiatives](https://jobs.opennash.com/companies/meta-platforms/jobs/3eb9b041792cb9b6e16a/) New York, US ### [Software Engineering Manager, Wearables Infra](https://jobs.opennash.com/companies/meta-platforms/jobs/15402508e77020ba9277/) New York, US ## Similar jobs at other companies ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Research Intern - Machine Learning for Biology and Healthcare](https://jobs.opennash.com/companies/microsoft/jobs/726db5a4d5e1cfbdd4bb/) Microsoft · United States, Massachusetts, Cambridge ### [Research Intern - Machine Learning and Statistics](https://jobs.opennash.com/companies/microsoft/jobs/6d9f9818afff6249a01a/) Microsoft · United States, Massachusetts, Cambridge, Washington, Redmond ### [Lead Data Scientist-Machine Learning](https://jobs.opennash.com/companies/huntington-bank/jobs/bd4c12a6627e948783dc/) Huntington Bank · Cleveland, OH Chicago, IL Cincinnati, OH Columbus, OH Minnetonka, MN Akron, OH ### [Machine Learning Scientist / Senior Machine Learning Scientist](https://jobs.opennash.com/companies/alphabet/jobs/3e1e36a5d96b16ef3d6a/) Alphabet · South San Francisco, CA [Jobs in New York, NY](/locations/us/ny/new-york/)[Jobs in New York](/locations/us-ny/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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