Industrial AI Company Gaus Labs Recruiting Participants for Global Internship Program

Providing Outstanding Employees with Opportunities to Work in Silicon Valley, USA

Gauss Labs Internship Guide Image / Source=SK Hynix Newsroom

[Asia Economy Reporter Kim Pyeonghwa] Industrial artificial intelligence (AI) software company Gauss Labs announced on the 11th that it is recruiting participants for its global internship program held in Seoul and Silicon Valley, USA.

Gauss Labs has been conducting internships since last year to nurture global talent who will drive innovation across industries through AI. This internship recruitment is open for five positions: ▲Applied Scientist (Machine Learning & Data Science) ▲Applied Scientist (Computer Vision & Image Processing) ▲AI Engineer, Computer Vision & Image Processing Engineer ▲Software Engineer, and others.

Applicants wishing to participate can apply on the Gauss Labs website by the 17th of this month. Successful candidates will be individually notified next month, and depending on the desired role, coding tests and interviews will be conducted. Final successful candidates will work full-time in Seoul for nine weeks starting from the end of December this year, and from March during the academic semester, they can continue participating in projects part-time. Outstanding workers selected after the project will receive an 8-week internship opportunity in Silicon Valley, with Gauss Labs fully covering some associated costs (airfare, accommodation).

Kim Younghan, CEO of Gauss Labs, said, “Participants will have the opportunity to experience real projects and vivid work in the industrial AI field through the global internship 'Grow with Gauss Labs.' We expect it to be a chance to grow while receiving mentoring from Gauss Labs members who possess world-class AI technical capabilities.”

Gauss Labs is an AI software startup based in Silicon Valley, USA, established in August 2020 with capital invested by SK Hynix. It plans to officially launch next month the AI software solution 'PANOPTES VM,' which predicts unmeasured wafer factory performance by utilizing semiconductor equipment sensor and wafer data.

This content was produced with the assistance of AI translation services.