Research Scientist, Neural Interfaces New York, NY • Artificial Intelligence +1 more • Machine [...]

Meta; New York (NY); On-site; USD 117,000 - 173,000; Full time

Job summary

Meta's Reality Labs seeks a Research Scientist to advance neuromotor interfaces through machine learning and signal processing. The role focuses on developing innovative solutions based on non-invasive EMG signals to enhance user interactions with virtual and augmented worlds. Candidates should have a Ph.D., programming skills, and experience in developing machine learning models at scale, contributing to cutting-edge research leading to real-world applications.

Qualifications

• Ph.D. required in a technical field.
• Experience in machine learning models at scale.
• Programming experience in Python is essential.

Responsibilities

• Research and development of neural networks and computational models.
• Design tools to analyze multimodal data sets.
• Transition research work into product applications.

Skills

Machine Learning

Signal Processing

Programming in Python

Neural Networks

Education

Ph.D. in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics, or related field

Bachelor's degree in Computer Science, Computer Engineering, or relevant field

Tools

PyTorch

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) 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, Neural Interfaces Responsibilities

Research and development of neural networks, machine learning or other computational models by leveraging EMG 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 product

Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications

Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics, or related field

Programming experience in Python and hands-on experience with frameworks such as PyTorch

Experience with developing machine learning models at scale

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

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

Preferred Qualifications

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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.

$117,000/year to $173,000/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.

Meta 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 here .

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 Accommodations request form .

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Meta 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 here .

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. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .