Orbifold AI ยท 1 month ago
Intern Research Engineer
Los Altos, CA
Internship
Onsite
InternOrbifold AI focuses on transforming and enhancing multimodal datasets to create optimized, AI-ready data. As a Research Engineer Intern, you will develop state-of-the-art visual models and optimize AI-driven data pipelines, working on multimodal datasets to enhance AI training inputs.
Computer Software
Hiring Manager
Stephanie Shi
Responsibilities
Develop and optimize multimodal AI models, focusing on computer vision, NLP, and generative architectures
Design and maintain high-throughput data pipelines to process and curate large-scale multimodal datasets (images, text, video, structured data)
Implement and refine MoE models to enhance model efficiency and scalability for multimodal AI training
Integrate the latest research innovations into our multimodal AI platform, improving data accuracy, diversity, and relevance
Experiment with SOTA models and data curation techniques to maximize AI training efficiency and quality
Collaborate with research scientists and machine learning engineers to improve data and AI infrastructure, ensuring scalability as models evolve
Qualification
Preferred
Currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, AI, Machine Learning, or a related field
Proficiency in Python and experience working with large-scale open-source datasets like DataComp
Strong understanding of distributed computing, HPC, and cloud-based AI infrastructure
Hands-on experience with multimodal model training, especially in computer vision, video understanding, and NLP
Familiarity with deep learning frameworks and multimodal model architectures
Passion for large-scale visual model research, with an ability to work in a fast-paced, dynamic environment
Company
Orbifold AI
Great AI starts & ends with great data. You spend precious time & money tweaking foundation models to only get generic, mediocre results.
Founded in 2024
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase