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Machine Learning Graduate Internship
  • Python
  • Machine Learning
  • Big Data
  • Modeling
  • Deep Learning
  • Reinforcement Learning
  • Bayesian
  • C#
Intel
Boulder, CO 80302
105 days ago
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.

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.


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. This is an entry level position and will be compensated accordingly.

Minimum Requirements:

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

6+ months experience in the following areas:

  • Scripting and programming (Python 3, CSS and C/C#)
  • Desire to learn Machine Learning
  • AI (Artificial Intelligence)

Preferred Requirements:

Previous internship experience

6+ months experience in the following areas:

  • Models based on data
  • Partial anomaly detection
  • Data clustering (big data)

Inside this Business Group

Non-Volatile Solutions Memory Group: The Non-Volatile Memory Solutions Group is a worldwide organization that delivers NAND flash memory products for use in Solid State Drives (SSDs), portable memory storage devices, digital camera memory cards, and other devices. The group is responsible for NVM technology design and development, complete Solid State Drive (SSD) system hardware and firmware development, as well as wafer and SSD manufacturing.


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....

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