Machine Learning Software Engineering Undergraduate Intern

Job Description

Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let’s do something wonderful together. Join us, because at Intel, we are building a better tomorrow. Want to learn more? Visit our YouTube Channel or the links below!

• Life at Intel
• Diversity at Intel

This role is within Intel’s Client Computing Group.  CCG is a computing paradigm where services and data reside in scalable data centers, and those services and data can be accessed by any connected device over the Internet. Responsible for designing and optimizing processors, chipsets and other hardware for consumer devices while also working on the software ecosystem, including drivers and utilities that enhance user experience.

Come join Intel's Client Computing Group for an internship in machine learning and data engineering. In this internship you will work with our engineers to design, train, and evaluate machine learning models that will be used to improve performance and power on Intel's newest laptop platforms. Through this internship you will gain experience in model selection, data curation and classification, model training, and developing data pipelines to collect and analyze data from cloud-based sources.

Responsibilities may be quite diverse of a nonexempt 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 from school.

This is a full-time, Hybrid, 3-month internship, targeting a start date of Summer 2025.  Intern must be able to be on-site in Hillsboro Oregon, Folsom California, or Santa Clara California weekly. 

This position is not eligible for employment-based visa/immigration sponsorship.  Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor’s degree with at least three years of post-degree related job experience.  This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor’s degree and less than three years’ experience. 

Qualifications

This is an internship position and will be compensated accordingly. You must possess the below minimum qualifications to be initially considered for this position. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, and research.:

What we need to see (Minimum Qualifications):

• Must be pursuing a BS degree in Computer Science, Computer Engineering, Machine Learning Engineering, Electrical Engineering, or any STEM related degree
• 6 months of programming experience through your course work and independent projects
• 6 months of knowledge or experience working in both Microsoft Windows and Linux
• 6 months of knowledge or experience of these programming languages: Python, Go, C#, JavaScript, or C++
• 3 months of knowledge or experience training different types of machine learning models, such as: generative models, computer vision models, graph-based models, neural networks, or deep-learning models
• 3 months of knowledge or experience with Git and GitHub or GitLab

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Benefits at Intel

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Other Locations

US, Folsom

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.



Annual Salary Range for jobs which could be performed in the US $40,000.00-$108,000.00 (Hourly Role)
*Salary range dependent on a number of factors including location and experience

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. * Job posting details (such as work model, location or time type) are subject to change.