Visiting Researcher, AI Mentorship Program, CMU (University Grad)

Visiting Researcher, AI Mentorship Program, CMU (University Grad)
Location pin icon
Pittsburgh, PA
Meta is seeking a Visiting Researcher through a short-term contract to join Meta AI. About Meta AI: We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, and computational statistics. About Reality Labs Research: Reality Labs Research brings together a world-class R&D team of researchers, developers, and engineers to build the future of connection within virtual and augmented reality. We're developing all the technologies needed to enable breakthrough AR glasses and VR headsets. We aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. This position is short-term employment for PhD students during the academic school year who will work in collaboration with Meta and Carnegie Mellon University and requires the student to work onsite in the Meta office. The position will be full time during CMU's summer break in 2024. The program will start in Fall 2023.
Visiting Researcher, AI Mentorship Program, CMU (University Grad) Responsibilities
  • Perform research to advance the science and technology of intelligent systems.
  • Perform research that improves computational understanding and representation of data.
  • Devise data-driven models of human behavior.
  • Influence progress of relevant research communities by producing publications.
  • Collaborate and increase productivity on existing research projects.
Minimum Qualifications
  • Currently in the process of obtaining a PhD degree in a technical field such as Computer Science from Carnegie Mellon University.
  • Knowledge in Machine Learning.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Experience building systems based on machine learning and/or deep learning methods.
  • Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.
  • Knowledge in Python, Lua, C++, C, C# and/or Java.
Locations
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 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@fb.com.
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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, you may contact us at accommodations-ext@fb.com.