We are seeking Research Interns to join our AI Solutions and Automation (ASA) Team. The ASA AI Exploration Team is a group focused on rapid exploration, post-training, and deployment of SOTA GenAI techniques.
Our interns have an opportunity to work on high-impact projects, contribute to the team’s culture, and help shape the future of AI at Meta.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Develop novel SOTA generative AI algorithms and systems, leveraging deep learning techniques
Analyze and improve efficiency, scalability, and stability of deployed algorithms
Advance the science and technology of intelligent machines through research
Enable learning the semantics and training generative models of data (images, video, 3D, text, audio, and other modalities)
Disseminate research results and publish in top tier conference
Minimum Qualifications
Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
Experience with Python, C++, C, Java, or related languages
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
Intent to return to the degree program after the completion of the internship/co-op
Proven track record of achieving significant results (grants, fellowships, patents, first-authored publications at leading workshops/conferences: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, etc.)
Experience working and communicating cross-functionally in a team environment
Experience advancing AI techniques, including contributions to open source libraries/frameworks in computer vision or related fields
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyzing their results
Experience manipulating and analyzing complex, large-scale, high-dimensionality data from varying sources
Experience utilizing theoretical and empirical research to solve problems
Experience with deep learning frameworks
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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
$7,650/month to $12,134/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.
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