Research Scientist, Neuromotor Interfaces

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) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.

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 us unleash human potential by removing the bottlenecks between user intent and action.Research Scientist, Neuromotor Interfaces Responsibilities

• Designing experiments to evaluate and improve the performance and failure modes of consumer-grade, wrist-worn input devices
• Designing human data collection protocols to generate large datasets for model training and evaluation of novel behaviors under realistic conditions of use
• Performing ML experiments to inform data requirements and drive model performance improvements
• Collaborating with hardware and machine learning teams to develop data-based mitigations to in-field signal aggressors
• Generating insights and tools to improve the efficiency and quality of human data collection studies
• Guaranteeing the quality and validity of experimental datasets

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in systems neuroscience, computational neuroscience, machine learning, biophysics, electrical engineering, computer science, statistics, or related fields
• Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem)
• Proficiency with quantitative methods (mathematics, statistics) and experience acquiring new technical knowledge and skills rapidly

Preferred Qualifications

• 2+ years of experience after PhD working independently to design, execute, interpret, and present research studies
• Experience in the analysis and modeling of high dimensional time series, such as neural signals, other physiological signals, audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities
• Experience in deep learning or probabilistic graphical models. Fluency with libraries for deep learning and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience in software engineering in industry
• Experience bringing machine learning-based products from research to production

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.

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