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Multimodal AI Research Internship Opportunity

2 months ago

Bismarck, North Dakota, United States Intel Full time
Transform Technology and Create a Better Future

At Intel, we're pushing the boundaries of innovation and creating new technologies that will shape the future for decades to come. As a Multimodal AI Research Intern, you'll have the opportunity to work on cutting-edge projects that combine computer vision, natural language processing, and deep learning to create intelligent systems that amplify human potential.

Key Responsibilities:
  • Conduct research on training multimodal AI models with efficient architectures and building agents for task guidance and/or enterprise applications.
  • Run data collection and annotation experiments via crowdsourcing if needed.
  • Research fundamental concepts and methods for mixed-initiative multimodal systems, building, and evaluating systems and proofs-of-concept that will allow for the deployment of scalable approaches in real-world settings.
What We Offer:
  • A competitive salary and financial benefits, including bonuses, life and disability insurance, and opportunities to buy Intel stock at a discounted rate.
  • A collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results.
  • Opportunities to work on real-world projects that have a significant impact on society.
Qualifications:
  • Pursuing a Ph.D. degree in Computer Science, Computer Engineering, or a related field.
  • 1+ year experience in deep learning, AI frameworks, Python, C++, and Linux OS.
  • Knowledge of novel paradigms beyond supervised learning, such as weakly supervised multimodal learning, human-in-the-loop approach, and unsupervised methods.

We're looking for a highly motivated and talented individual who is passionate about AI research and development. If you're interested in working on cutting-edge projects and contributing to the creation of new technologies, we encourage you to apply for this internship position.