Research Scientist Intern, Neuromotor Interfaces: Computational Modeling (PhD) at Meta in Burlingame, California

Job Description:

Meta Reality Labs is looking for interns to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. This technology could become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will embed with a world-class, multi-disciplinary team of researchers to investigate the nature of human neuromotor signals (i.e., electromyography or EMG), develop novel signal processing and machine learning methods to infer a user's intent, and create novel 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, Neuromotor Interfaces: Computational Modeling (PhD) Responsibilities:

• Build cutting-edge machine learning models to advance neuromotor interface capabilities.


• Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.


• Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in one or more of the following fields: machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or related fields.


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


• Research-oriented implementation skills, including fluency in scientific Python and PyTorch, as evidenced by academic or professional research experience or contributions to open source projects.


• Experience in machine learning, deep learning, computer vision, probabilistic graphical models and/or natural language processing.

Preferred Qualifications:

• Experience with scientific communication tools (e.g. jupyter, matplotlib).


• Experience with multi-channel array processing, or related topics.


• Experience in software engineering in industry.


• Experience with real-time signal processing.


• Intent to return to degree program after the completion of the internship.


• Experience working and communicating cross functionally in a team environment


• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICASSP, WASPAA, ICML, ASRU

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 Affirmative 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 accommodations-ext@fb.com.


$7,800/month to $11,293/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. Apply Now