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Machine Learning Graduate Intern (SK)

Company: Intel
Location: boulder
Posted on: May 3, 2021

Job Description:

Job Description

This position is associated with the sale of Intel's NAND memory and storage business to SK Hynix (You can read more about the transaction in the press release - https://newsroom.intel.com/wp-content/uploads/sites/11/2020/10/nand-memory-news-q-a.pdf). The transaction will enhance the resources and potential of the business' storage solutions, including client and enterprise SSDs, in the rapidly growing NAND Flash space amid the era of big data.

This is an exciting time to be at Intel - come join our team and work on one of the most advanced 3DNAND and SSD technology portfolios in the world. As the global leader in the semiconductor industry, Intel possesses many industry-leading SSD technologies including the most capable Quadruple Level Cell (QLC) NAND Flash products. As an Intern, you will be part of a world-class team that will transition to lead the SSD business at SK Hynix.

This position aligns to Phase 1 of the transaction, which includes the 3DNAND enterprise and client SSD business. Phase 1 is expected to close in late 2021, subject to regulatory approvals and other customary conditions. At deal close, all employees aligned to this phase of the transaction will transition to SK Hynix.

Responsibilities may be quite diverse of a technical nature US 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.

As a Machine Learning Intern you'll be responsible for but not limited to the following:

  • Builds machine learning based products solutions which provide descriptive diagnostic predictive or prescriptive models based on data.

  • Uses or develops machine learning algorithms such as supervised and unsupervised learning deep learning reinforcement learning Bayesian analysis and others to solve applied problems in various disciplines such as Data Analytics Computer Vision Robotics etc. Interacts with users to define requirements for breakthrough product solutions. In either research environments or specific product environments utilizes current programming methodologies to translate machine learning models and data processing methods into software.

  • Completes programming testing debugging documentation and/or deployment of the solution products Engineers Big Data computing frameworks data modeling and other relevant software tools.

  • Engineers/scientists interested research straight to products. These would include user experience, software engineering, databases, automated testing, and machine programming (ML/AI).

This will be a Full Time 6 months internship staring Summer 2021.

-Colorado Pay Transparency Law requires that Intel discloses the compensation for jobs which could be performed in Colorado. Intel anticipates that the annual base pay range for this role in Colorado is $52,000 $147, 000.

-In addition to base pay, regular Intel employees are eligible for an Annual Performance Bonus (APB) and Quarterly Profit Bonus (QPB). Payout of APB is subject to eligibility and other program conditions as well as the Companys performance to its operational and financial goals. Payout of QPB connects Intels employees to the quarterly profits of the Company. Employees in eligible sales and marketing positions receive commission in lieu of APB but are eligible for QPB. Information about these bonus programs as well as the host of expansive stock, health, retirement and vacation benefits offered to Intel employees are available at https://www.intel.com/content/www/us/en/jobs/benefits.html Interns and Intel Contract Employees are not eligible for APB or QPB or for some employee benefits including, but not limited to, disability, life insurance, retirement, equity and certain leave programs.

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 school work , classes, research and/or relevant previous job and/or internship experiences.

Minimum Requirements:

The candidate must be pursuing a MS or PhD in Computer Engineering or related field.

Minimum 6+ months experience in the following areas:

  • Scripting and programming Python 3 CSS and CC

  • Machine Learning

This is a 6 months internship with possibility of extension.

Preferred Requirements:

Previous internship experience

Minimum 6 months experience in the following areas:

  • AI Artificial Intelligence

  • Models based on data

  • Partial anomaly detection

  • Data clustering big data

Inside this Business Group

Employees in Intel's NVM Solutions Group deliver solutions that are transforming computing across all segments from data centers to Ultrabooks. They invent, develop, bring to market and support customers with leading-edge NAND flash memory and system level solutions such as solid state drives (SSDs). SSDs are accelerating performance for gaming enthusiasts, reducing total cost of ownership for IT managers of data centers and improving security and reliability for businesses. This dynamic group is strategically positioned to become the leading Non-Volatile Memory solution supplier for the compute segment and is a key to expanding markets and continuing the growth for Intel.

Other Locations

Virtual US and Canada

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.

Keywords: Intel, Boulder , Machine Learning Graduate Intern (SK), Other , boulder, Colorado

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