04/29/2026
📣 Computer Science Engineering Internship (Research)
♻️ Мэдээллийн технологийн салбарын дадлагажигч хөтөлбөрт Калифорни мужид 13 сарын турш ажиллаж амьдрах орон тоо гарлаа.
(Олон орны өрсөлдөгчидтэй тул түрүүлж бүртгүүлсэн кандидат сонгогдох боломжтой болдог байна)
👉 About the Role
As a Research Engineer Intern at Orbifold AI, you will be at the forefront of advancing multimodal AI models and infrastructure. Your primary focus will be on developing state-of-the-art (SOTA) visual models, optimizing AI-driven data pipelines, and transforming large-scale, multimodal datasets into high-quality training inputs.
🤝 We are looking for engineers who are passionate about multimodal AI, large-scale model optimization, and data-centric AI research. You will work with Mixture of Experts (MoE) models, distributed systems, and batch inference at an internet scale—pushing the boundaries of training, Retrieval-Augmented Generation (RAG), and reinforcement learning for enterprise AI applications.
🌍 Key Responsibilities
Develop and optimize multimodal AI models, focusing on computer vision, natural language processing (NLP), and generative architectures.
Design and maintain high-throughput data pipelines to process and curate large-scale multimodal datasets (e.g., 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.
👓 Preferred Qualifications
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, high-performance 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 the ability to work in a fast-paced, dynamic environment.
🎯 Estimated Payment: $3200 (Monthly)
APPLY > [email protected]
976-86803466
#АмерикийнВиз
