Multimodal AI Research Intern

Job Description: 

Join Intel-and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us-and help us create the next generation of technologies that will shape the future for decades to come.

Intel Labs is an industry-leading research organization, responsible for driving Intel's technology pipeline, product innovations, and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Intelligent Systems Research Division within Intel Labs is focused on multi-disciplinary research spanning ethnography, design, HCI and AI Research teams to create intelligent systems that can amplify human potential and create sustainable and transparent AI solutions. We utilize multi-modal signals (e.g. vision, audio, speech, language, RF) and AI to train, infer and predict human state and actions and enable physically situated dialog and interactions. We conduct this research in the context of horizontal technologies as well as vertical domains including manufacturing, education, enterprise, and assistive computing for people with disabilities.

We are looking for a Fall 2024 Intern with experience in computer vision, NLP and deep learning technologies who can help with the research being conducted in one or more of our focus areas.

The successful candidate will be working on the topic of multimodal representation and interaction or multimodal AI generation systems. In this position you will have the opportunity to conduct research on training multimodal AI models with efficient architectures and building agents for task guidance and/or enterprise applications. You will be running data collection and annotation experiments via crowdsourcing if needed, and you will be researching 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. This research will enable validation of the ideas and the publication of findings in both external venues.
The successful candidate should exhibit the following behavioral traits:
Excellent verbal and written communication skills

What we offer:

· We give you opportunities to transform technology and create a …