Research Scientist Intern, Multimodal Contextual AI (PhD)

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of Contextual AI. RL Research is seeking exceptional Research Scientists to research and help build meaningful representations of user state using data gathered from egocentric machine perception functionalities that will underpin contextual-AI-wearables as well as VR and AR devices. To do this we collect and analyze rich behavioral datasets to understand human experience. The research intern will work on cutting edge research problems in the field of contextual AI and we are looking for candidates with qualitative and quantitative social science experience.

Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.Research Scientist Intern, Multimodal Contextual AI (PhD) Responsibilities

• Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception.
• Collaborate with other researchers and engineers across machine perception teams at Meta to develop AI systems.
• Work with the team to help design, setup, and run practical experiments and analyses related to large-scale high quality sensing and machine reasoning.
• You’ll own research end-to-end. This means you’ll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions.

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree in the domain of Social Interaction, Anthropology, Informatics, NLP, Embodied Cognition, Human Computer Interaction, Robotics or a relevant field.
• Experience working within Python environments.
• Experience working in a Unix environment.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences.
• Demonstrated research coding experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories.
• Intent to return to a degree-program after the completion of the internship.
• Experience working and communicating cross functionally in a team environment.
• Hands-on experience implementing end-to-end training of ML models from data collection and design to evaluation.

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.
$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.

Equal Employment Opportunity and Affirmative Action 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, 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 support, please reach out to accommodations-ext@meta.com.