Graduate Intern Technical

Job Description

The internship will focus on efficient implementation of transformer-based deep learning models, particularly Large Language Models, on edge platforms. This will understanding current performance limitations via benchmarking and profiling, and developing innovative techniques (model-compression, data-compression, workload partitioning, etc.) to improve performance as measured by KPIs such as latency, memory bandwidth, and power. The candidate will perform literature reviews to understand state-of-the-art and work with the team to implement models, perform testing, evaluate performance, and optimize implementation for Intel platforms. Join a team of researchers at Intel's System, Software and Architecture (SSA) Labs. SSA team's mission is to research and develop software-driven system architecture innovations to fuel Intel's continued growth in hyper-scale cloud datacenters, high-performance computing (HPC) and intelligent edge infrastructure. As a Research Intern in our organization, you will have the unique opportunity to learn and enhance your deep learning and AI systems skills. You will gain experience working in a research organization, collaborating with talented researchers who have a proven track record of publishing in leading AI/ML venues and real-world product impacts. The candidate is expected to have strong research ability, problem-solving and analytical skills.

Qualifications

Student pursuing Integrated Masters /PhD in Engineering Design, CS, ECE, EE, ME, AI or related fields Required Skills � Familiar with AI and Machine Learning concepts including neural networks, transformers etc. � Fluent with Python and associated libraries (numpy, scipy, etc.), frameworks such as PyTorch and Hugging Face. � Understanding of operation and architectures of transformers and Large Language Models. � Experience with performance characterization on real systems. � Fundamentals of probability and linear algebra. Preferred skills: � Track record of publications in AI/ML conferences such as NeurIPS, ICLR, ICML, CVPR etc. � Demonstrated deep learning and software development experience with open-source contributions and participation in AI/coding challenges. � Familiar with information theory and/or data-compression techniques.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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.


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Working Model

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. In certain circumstances the work model may change to accommodate business needs.