Graduate Machine Learning Intern (SK)

Key Skills

CSS, C++, C Programming, Machine learning techniques, xxxxxx, Clustering, Anomaly detection

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 Core Systems Engineering as an Intern 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.

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

Minimum requirements:

• Pursuing a PhD in Computer Engineering or related field.

• Minimum 3+ months experience in Python 3, CSS, C/C#

• Knowledge of Machine Learning, AI, Partial anomaly detection , Data clustering (big data)