Job Details:

Job Description: 

AI Model, especially LLM model compression is a hotspot of AI performance optimization field. We are looking for passionate Intern talent to explore the training/finetuning recipe and maintain low-bit model leaderboard.

Qualifications:

� Master's or Ph.D. student in Computer Science, Artificial Intelligence, Software Engineering, or related fields � Strong background in deep learning, LLMs, or NLP � Hands-on experience with fine-tuning LLMs (e.g., Mistral, LLaMA, Qwen) � Proficiency in Python and deep learning frameworks like PyTorch. � Basic knowledge of frontend development (e.g., HTML, CSS, JavaScript, React) � Passion for technology and innovation, with a strong drive to explore and push boundaries � Familiarity with model compression techniques (e.g., quantization, pruning) 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.