About the role#
Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Core Learning and Reasoning team. This role focuses on advancing Artificial Intelligence by developing technologies that help computers understand and interact with the world. You will work on core algorithmic challenges and apply your ideas at scale. We are looking for researchers interested in world models, multimodal and video domains, including video generation, generative models, and multimodal reasoning.
What you'll do#
- Perform research to learn the semantics of data across text, audio, images, and video.
- Brainstorm with mentors and review existing literature to address complex research problems.
- Develop new solutions, build prototypes, and run experiments to test your work against benchmarks.
- Analyze results, verify conclusions, and draft research reports or publications.
- Present your findings to internal and external audiences.
- Contribute research that can be applied to Meta product development.
What you'll need#
- Currently pursuing a PhD in Computer Vision, Machine Learning, Artificial Intelligence, or a related field.
- Research or work experience in Deep Learning, Computer Vision, or Machine Learning.
- Proficiency in Python, PyTorch, C++, or similar frameworks.
- Ability to obtain and maintain work authorization in Canada.
- Experience working with complex, large-scale, high-dimensionality data.
- Experience using theoretical and empirical research to solve problems.
- Ability to communicate and work in a cross-functional team environment.
- A track record of results, such as publications at conferences like NeurIPS, ICML, ICLR, CVPR, ECCV, or ICCV.
- Intent to return to your degree program after the internship.
Location & details#
- Location: Montreal, Quebec, Canada.
- Duration: 12 to 24 weeks.
- Schedule: Full-time, on-site.
- This is a paid internship.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
