INC algorithm engineer Intern

Job Description

Studying, validating, porting and innovating compression algorithms for LLM and text to image model (e.g. Stable Diffusion, FLUX) in Intel Platform.

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 � Familiarity with model compression techniques (e.g., quantization, pruning) � Proficiency in Python or other programming languages � Passion for technology and innovation, with a strong drive to explore and push boundaries � Experience with LLMs (e.g., Mistral, LLaMA, Qwen) is a plus � Knowledge of hardware acceleration (e.g., GPU, TPU, or custom AI accelerators) is a good plus � At least 3 days per week, able to commit to a one-year internshipLocation: Shanghai

Inside this 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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.