Job Details:

Job Description: 

Join a world-class research team at Intel Labs developing foundational models and algorithms. At Intel Labs we place a high value on innovation - with a focus on peer reviewed publications, open-source software, and patents. You will work to develop novel optimizations for performance-efficient foundation models, that may include but not limited to optimized foundation model inference for LLM serving, optimization for efficient fine-tuning, efficient foundation model inference with mixture of experts (MoEs). Your work will be either at the system or algorithmic level, or a combination of both. The candidate is expected to closely work with Intel labs researchers. The candidate should be self-driven and should be motivated to explore and expand the boundaries of the research problem. The candidate will create proofs of concepts, and prototype new ideas with the final objective of top-tier research publications.

This is an internship position and compensation will be given accordingly.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

Minimum Qualifications:

• The candidate must possess a Bachelor degree or Master degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Computer Science or in related field.

6+ months experience in below areas:

• Expertise in developing novel deep learning algorithms as demonstrated by 1st author papers (in a relevant field) at top-tier AI and relevant conferences like ICLR, NeurIPS, ICML, CVPR, MLSys, ACL etc.
• Experience using at least one ML framework like PyTorch (preferred) or TensorFlow.
• Prior research experience on foundation models including large language models, large vision models, vision language models, and Mixture of expert models.
• Working principles of machine learning primitives like self-attention, sub-quadratic attention, approximate attention, graph convolutions, state-space models, etc.

Preferred qualifications:

• Experience using ML acceleration tools like Microsoft DeepSpeed, HuggingFace Accelerate etc.
• Experience training large scale ML models in distributed, model-parallel or data-parallel settings.
• Demonstrable ability to execute projects end to end - e.g., via projects on GitHub, Kaggle ranks, etc.
• Demonstrable expertise in developing profiling framework and optimized kernels to support improved run time with custom primitive and ops.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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

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: https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, Colorado, New York, Washington, California:$63,000.00-$166,000.00

Salaryrangedependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.The application window for this job posting is expected to end by 07/01/2024