Job Description

Our recently formed Wireless Connectivity AI Center of Excellence is looking for an Machine Learning Engineering Student.

Your Role

• responsible for preparing data for ML models at scale.
• Building appropriate inference interfaces for ML model consumption.
• Enabling ML Ops for continuous delivery and automation of ML pipelines.
• And/or building solutions that can be matured towards sustain-able AI productization platforms.
• Be in charge to builds machine learning workflows and infrastructure necessary to build AI models and showcase solution feasibility.
  
  
  

Qualifications

• Practical programming experience in Python and ideally C# or C++ - a must.
• BSc/MSc/PhD student in Computer science or Electrical Engineering.
• Understanding ML techniques or applications.
• Proficiency developing large scale models using widely utilized AI frameworks (e.g. Pytorch, TensorFlow).
• Capacity to work at least 20 hours a week, and studies expected to continue for at least 1.5 years.
  
  
  

The ideal candidate genuinely enjoys solving problems, has great communication and technical skills, is motivated, proactive, a self-starter, and has a great curiosity for investigating emerging ways of utilizing AI technology and realizing novel use cases - with hands-on experience in SW development.

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to continue to advance PC experiences to deliver the real-world performance people demand. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of 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.

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.

Working Model

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.