Research Scientist Intern, AI-Driven Neural Interfaces (PhD)

Meta; New York (NY); On-site; USD 85,000 - 141,000; Full time

Benefits offered by this job

Benefits

Equal opportunity employer

Job summary

Reality Labs at Meta is seeking PhD research interns to advance neural interface work using EMG, IMU, and PPG data. You will join a world-class team and develop signal processing and ML methods to infer user intent, turning research into AI-first interactions for VR/AR.

Internships last 12 to 24 weeks with multiple start dates. You will collaborate with engineering and HCI teams to build prototypes and contribute to a forward-looking research agenda.

Qualifications

• PhD in machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or related field.
• Research-oriented implementation using scientific Python and PyTorch in academic or professional settings.
• Experience in machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, or NLP.
• Must be eligible to work in the United States at time of hire and maintain work authorization during employment.

Responsibilities

• Research and develop neural networks, ML models using EMG, IMU and other sensor data to advance neural interfaces.
• Design methods and tools to analyze multimodal datasets.
• Adapt ML methods to distributed clusters and GPUs.
• Collaborate with engineering and HCI teams to translate research into technology and user experiences.
• Use quantitative methods to define and advance research areas.

Skills

PhD in machine learning

Python (scientific)

PyTorch

ML research

Signal processing

Education

PhD in related field

Tools

Job description

Reality Labs at Meta is looking for PhD research interns to advance our pioneering work in neural interfaces, which grew out of the acquisition of CTRL-labs. We're building a practical interface that draws on rich signals measured non-invasively from the body, including surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG). This technology could become one of the main pillars for interaction with virtual and augmented realities. Help us unleash human potential by removing the bottlenecks between user intent and action.

In this role you will join a world-class, multi-disciplinary team of researchers. You'll investigate the nature of human neuromotor and other sensor signals, develop new signal processing and machine learning methods to infer a user's intent, and help create AI-first new interaction techniques and user experiences. Our internships are twelve (12) to twenty-four (24) weeks long, and we have various start dates throughout the year.

Research Scientist Intern, AI-Driven Neural Interfaces (PhD) Responsibilities:

• Research and develop neural networks, machine learning, or other computational models that use EMG, IMU and other relevant sensor data to advance neural interface capabilities.
• Design methods, tools, and infrastructure to analyze and make use of rich multimodal datasets.
• Adapt machine learning methods to modern parallel computing environments (e.g., distributed clusters and GPUs).
• Work with engineering and Human-Computer Interaction (HCI) teams to turn research into new technology and user experiences.
• Use quantitative research methods to define, iterate on, and advance key areas of our research agenda.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or a related field
• Research-oriented implementation skills, including fluency in scientific Python and deep learning frameworks such as PyTorch, as shown by academic or professional research experience or contributions to open source projects
• Experience in machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, and/or natural language processing
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Intent to return to degree program after the completion of the internship
• Experience working with biosignals or wearable sensor data (e.g., EMG, IMU, PPG, EEG)
• Experience with multi-channel array processing or real-time signal processing
• Experience with sequence modeling of time-series data
• Experience training machine learning models at scale, including distributed or multi-GPU training on large datasets
• Experience moving machine learning research into prototypes or products
• Experience in software engineering in industry, including prior internships

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.

Meta is proud to be an Equal Employment Opportunity and Affinite Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$7,650/month to $12,667/month + 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.