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Intel Foundational AI Research Intern in Helena, Montana

Job Description

Join a world-class AI research team at Intel Labs. 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 algorithms and applications for emerging areas like chip design, computational chemistry, and computer vision solutions for chip manufacturing processes.

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 building disruptive applications and publishing groundbreaking ideas.

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 be pursuing a Master degree or PhD degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Computer Science or in related field.

·1+ years’ experience in developing novel machine learning solutions for applications like chip design and manufacturing, computational Chemistry, Physical Dynamics, video enhancement, Physics-Inspired Deep Learning, etc.

·1+ years’ experience in ML framework like PyTorch (preferred) or TensorFlow to train ML models.

Preferred Qualifications:

·Experience using ML acceleration tools like DeepSpeed.

·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.

·Graduate level training and understanding of classical methods in specific domains like chip design, Chemistry, Physics, Video processing, etc.

Inside this 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.

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://jobs.intel.com/en/benefits)

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

Working Model

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.

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