Job Details:

Job Description: 

Join Intel and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us and help us create the next generation of technologies that will shape the future for decades to come. 

Corporate Services (CS) touches the lives of every Intel employee every day. CS creates an environment where employees can prosper while creating the innovative technologies that make amazing possible. Our scope is vast and includes operating and maintaining all Intel sites, offices, labs and factories globally as well onsite services and experiences that help employees stay safe and productive. CS also helps to make Intel and our community a greener place by supporting Intel commitment to environmental sustainability, including investing in conservation projects, setting company-wide environmental targets and driving reductions in greenhouse emissions, energy use, water use and waste generation. 

Intel Corporation's state of the art facilities gives you the opportunity to learn a variety of technical and operational skills to develop, operate, maintain, and repair the world’s most advanced facility equipment, in a demanding and challenging operations environment. 

Life at Intel link:  https://www.intel.com/content/www/us/en/jobs/life-at-intel.html  

As a CS - Data Scientist / Machine Learning Engineer Student your responsibilities will include but are not limited to:  

• Work alongside our multi-disciplinary Automation team and apply data science techniques to predict anomalies and faults in complex, large-scale time-series data.
• Apply your data science skills and statistical knowledge to build an autonomous fault detection and root cause platform using Machine Learning methodologies.
• Support consulting activities to identify data availability, quality, and modeling requirements and participate in our customers' engagement.
• Build and set up; AI environments, workloads, and frameworks to deploy the AI use cases.

The successful candidate should exhibit the following behavioral traits: 

• A proactive, innovative, and pragmatic approach to problem-solving.
• Skills to think critically and independently.
• Work as part of a cross-functional team and communicate clearly to provide insights based on analysis outputs.
• Ability to acquire fast technical acumen and business.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life. 

See  https://www.intel.com/content/www/us/en/jobs/benefits.html for more details. 

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.  

This position is not eligible for employment-based visa/immigration sponsorship.  Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or Ph.D. degree, or a Bachelor’s degree with three years’ related  job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor’s degree and less than three years’ experience.   

Minimum Qualifications: 

• BS student in Computer Science, System or Software Engineering, or a related field.

With 3+ months of experience or related coursework in:

• Statistical analysis, machine learning, and deep learning methodologies understanding.
• Computing fundamentals in algorithm design, data structures, complexity analysis, problem-solving, and diagnosis.
• Software development skills. (Python, SQL, and some scripting).

Preferred Qualifications: 

• Understanding what it takes to write clean code and experience with software development lifecycle.
• Knowledge of system identification of dynamic models and control systems.
• Experience with Vibration analysis, Fault Detection, and Root Cause Diagnosis.
• Practical experience of predicting Remaining Useful Life.
• Extraction of conditional indicators using signal processing techniques and analyzing data from physical sensors.
• DevOps.

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

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 be eligible for 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.