AI Research Intern
4 days ago
Job Details
Job Description:
This intern is expected to do first-tier AI research at Intel Labs China, under the careful guidance of leading researchers in the AI community. Specifically, the intern will focus on efficient algorithm designs for LLM-based agent design and reranking towards text/image/video retrieval applications, especially on resource-constrained computing platforms.
Qualifications
Requirements: 1. Master/PhD candidate in Computer Science, Electrical Engineering, Automation or related; 2. Good background on machine learning, deep learning and LLM related areas; 3. Matured on Pytorch, C/C++, and script languages (e.g. Shell and Python); 4. Experienced in Linux develop environment; 5. At least work 3 days per week for 6 months and above.
Job Type
Student / Intern
Shift
Shift 1 (China)
Primary Location:
PRC, Beijing
Additional Locations:
Business Group
The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development.
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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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