[This requisition is for Computer vision/NLP-heavy Multimodal roles]
Meta is seeking Research Interns to join Fundamental AI Research (FAIR) working on Multimodality. The team is committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Computer Vision, Natural Language Processing, Core Machine Learning, and Deep Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our teams are looking for candidates with expertise in the Computer Vision, Natural Language Processing & Multimodality domains, such as: image understanding and generation, natural language understanding and generation, multimodal large language modeling, pretraining, question answering, cross-lingual and cross-domain transfer learning.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
- images, video, and other modalities)
- Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
- Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
- Draft and polish research publications
- Present research outcomes to internal and/or external audiences
- Contribute research that can be applied to Meta product development
Minimum Qualifications
- Currently has or is in the process of obtaining a PhD degree in the field of Computer Vision, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
- Research and/or work experience in Computer vision
- Research and/or work experience in Natural Language Processing
- Research and/or work experience in Machine Learning or Deep Learning
- Experience in Python, C++, or other related languages and with PyTorch framework.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- Intent to return to the degree program after the completion of the internship/co-op
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV, Language (ACL, EMNLP, NAACL), and/or core Machine Learning (NeurIPS, ICLR, ICML)
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience in utilizing theoretical and empirical research to solve problems
- Experience working and communicating cross functionally in a team environment
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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.
$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@fb.com.
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