Visiting Researcher, Reality Labs Research

Welcome to the Surreal team in Reality Labs Research! Our team is dedicated to advancing the state-of-the-art in computer vision, machine perception, machine learning, and artificial intelligence. We are a broad-based group of researchers, engineers, and technologists who work together to develop cutting-edge technology that pushes the boundaries of what is possible.As a member of our team, you will have the opportunity to work on exciting projects that have the potential to make a real impact on the world. Whether you are interested in developing new algorithms for object recognition, creating novel approaches to scene understanding, or exploring the intersection of machine learning and robotics, there is something here for everyone.

Visiting Researcher, Reality Labs Research Responsibilities:

• Carry out cutting-edge research to advance the science and technology of machine learning systems
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
• Devise better data-driven models of AI system design and optimization
• Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• Publish research results and contribute to research that impacts Meta product development

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. and publications in Machine Learning, AI, computer science, statistics, systems, data science, or related technical fields
• Experience solving analytical problems using quantitative approaches
• Experience manipulating and analyzing data from different sources
• Experience in theoretical and empirical research and for answering questions with research
• Knowledge in some programming language

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.

$213,000/year to $293,000/year + 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.

Client-provided location(s): Flexible / Remote

Job ID: a1KDp00000E2bGtMAJ_1001

Employment Type: OTHER

Posted: 2025-07-17T00:17:20