Intel

Graduate AI research intern

Remote US
USD 63k - 166k
Machine Learning PyTorch Python
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Description

Job Details:

Job Description: 

Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks. Used for jobs with a higher market rate than standard tech jobs.

 

The ideal candidate should exhibit behavioral traits that indicate:

  • Excellent interpersonal and communications skills
  • Demonstrated attention to detail and can take direction and follow-through on assignments.

 

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 listed below would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or internship experiences.

 

Minimum Qualifications:

The candidate must be pursuing a Master’s degree or PhD degree in Computer Science, Electrical & Computer Engineering, Electrical Engineering, Mechanical Engineering or related fields.

 

6+ months experience on below areas:

  • Computer architecture and system-level optimizations.
  • Processing pipeline, foundational models, RAG systems, embedding models, KV Cache Optimizations, Model Quantization, AutoML, etc.
  • Generative AI/LLMs, Machine Learning
  • ML toolkits/FW such as PyTorch etc.
  • Python/C++ and/or experience in optimizing algorithms and/or experience in LLM Optimizations.
  • Scientific inquiry - ability to develop hypothesis and carry out research independently.

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

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.

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

Salary range dependent 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 07/08/2024

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