Intel

Machine Learning Engineer- Graduate Intern

Austin, TX Phoenix, AZ
Deep Learning PyTorch TensorFlow Assembly Python R
This job is closed! Check out or
Description

Job Details:

Job Description: 

We are looking for a highly motivated AI/ML Engineering Graduate Intern for an exciting opportunity to work for Intel Corporate Quality Network (CQN) Labs. The ideal candidate understands AI-driven solutions and has a combination of creativity and analytical skills to implement these solutions.

Roles and Responsibilities:

  • Possess good problem-solving skills, ability to work in a dynamic and multi-functional team and the willingness to learn key concepts of microelectronic technology development.

  • Experiment with various approaches involving complex datasets, create proof of concepts and prototypes of new ideas and support strategic enhancements to existing models.

  • Work with Engineers from diverse engineering backgrounds to help implement proof of concept AI-based solutions/models and validate them.

  • Present, report and publish on related technical topics.

  • Excellent communication skills to both technical and non-technical audiences, including higher management, internal and external customers.

Qualifications:

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

Minimum Qualifications:

  • The candidate must be pursuing a Master's or PhD degree in Mathematics, Computer Science or any related fields (Statistics, Applied Math, etc.).

  • Must have completed AI coursework (or 6+ months experience in the domain).

  • 12+ months of experience in Scripting and programming skills with either Python, R and/or C/C++.


Preferred Qualifications:

  • Deep Learning, ML Frameworks (PyTorch, TensorFlow).

  • Applied data science. Experience working on image and timeseries data.

  • Software development for AI/ML

  • Non-linear estimation techniques, Feature extraction, Exploratory data analysis

  • Deep learning approaches, model development/validation and recommendation systems

  • Probabilistic Modeling (Bayesian modeling, Graphical models)

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

US, Texas, Austin

Business group:

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

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 require an on-site presence.

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 264 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers