Job Details:
Job Description:
Work in our team includes,
� Design and develop AI solutions based on customer's requriement
� Communicate to direct colleague, collaborating colleagues and architects to discuss issues, solutions, provide status update and get feedback
� Apply new and innovative ideas to product
Qualifications:
� Master's or Ph.D. student in Computer Science, Artificial Intelligence, Software Engineering, or related fields
� Good programming skills of modern C++ and Python
� Know foundations of Deep Learning theory and some hands-on experience
� Communicate in English fluently (both written and spoken)
� Are passionate on solving problems and positive thinker
� Experience of AI Agent, Finetuning is a plus
� At least 3 days per week, able to commit to a one-year internship
Location: Shanghai
Job Type:
Student / Intern
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
Business group:
The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and
technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
