Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit)New York, NY • Full TimeMetaAI ResearchArtificial IntelligenceMachine LearningMeta is seeking a Research Scientist to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research teamResearch Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit) ResponsibilitiesResearch and develop machine learning models that leverage Inertial Measurement Unit sensorsBuild cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.)Use quantitative research methods to define, iterate upon and advance key areas of our research agendaMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD in the field of machine learning, artificial intelligence, computer science, electrical engineering, robotics, signal processing, or related fields1+ year of industry experience in the field of artificial intelligence, machine learning, computer science, robotics, signal processing, or related fieldsExpertise/familiarity with hardware sensors such as Inertial Measurement UnitsResearch-oriented software engineering skills, including fluency with libraries for scientific computing and machine learning (for example Scikit-learn, PyTorch, TensorFlow)Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidlyPreferred QualificationsExperience in the analysis and modeling of high dimensional time series, such as neural signals, multichannel audio recordings, robotic sensory signals, financial time series, video, or other sensor modalitiesExperience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integrationExperience in signal processing and control theory and familiarityFirst-authored publications at peer-reviewed conferences and journalsExperience with large scale cluster computing for machine learning modelingFor those who live in or expect to work from California if hired for this position, please click for additional information.About MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.147 000 $US/year to 208 000 $US/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .Apply for this jobTake the first step toward a rewarding career at Meta.APPLY NOWFind your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that's right for you.CareersFollow usCareer programsTeamsWorking at MetaMy accountAbout usEqual Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. 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