Meta · 2 weeks ago
Research Scientist Intern, AI Research - Multimodal Pretraining (PhD)
Menlo Park, CA
Internship
Onsite
Intern
$7,650/mo - $12,134/moMeta is a company focused on helping people connect and share, with a commitment to advancing the field of generative AI. They are seeking Research Scientist Interns to join their multimodal pretraining team, where the main responsibilities include performing research to advance multimodal pretraining and collaborating with researchers to publish findings.
Computer Software
Responsibilities
Perform research to advance the frontiers of multimodal (images, video, text, audio, and other modalities) pretraining, to develop the next generation of multimodal architectures
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Qualification
Required
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Computer Vision, Artificial Intelligence, or relevant technical field
Past projects/publications in the general domain of neural scaling laws, model architectures, image/text modeling, vision-language modeling
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in PyTorch, Triton, or other related programming languages
Experience building systems based on machine learning and/or deep learning methods
Preferred
Intent to return to a 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 such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience with Generative AI, including transformers, diffusion models and VLMs
Background in advancing AI techniques at the intersection of foundation model training including core contributions to open source libraries and frameworks
Publications or experience in machine learning, AI, computer vision, NLP, 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 in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment
Benefits
Benefits
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Founded in 2004
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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