Research Scientist, Neural Interfaces – Machine Learning (Inertial Measurement Unit) Position Available In New York, New York

Research Scientist, Neural Interfaces – Machine Learning (Inertial Measurement Unit)
New York, NY • Full Time
Meta
AI Research
Artificial Intelligence
Machine Learning
Meta 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 team
Research Scientist, Neural Interfaces – Machine Learning (Inertial Measurement Unit) Responsibilities
Research and develop machine learning models that leverage Inertial Measurement Unit sensors
Build 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 agenda
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in the field of machine learning, artificial intelligence, computer science, electrical engineering, robotics, signal processing, or related fields
1+ year of industry experience in the field of artificial intelligence, machine learning, computer science, robotics, signal processing, or related fields
Expertise/familiarity with hardware sensors such as Inertial Measurement Units
Research-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 rapidly
Preferred Qualifications
Experience 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 modalities
Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
Experience in signal processing and control theory and familiarity
First-authored publications at peer-reviewed conferences and journals
Experience with large scale cluster computing for machine learning modeling
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta 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/year to $208,000/year + bonus + equity + benefits
Individual 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 benefits at Meta.