Intel Machine Learning Graduate Intern in Phoenix, Arizona
Intel's Analytics and Technology Automation (ATA) organization hires talented software engineers to create, develop, test, and support factory automation systems that enable Intel to manufacture leading edge semiconductors.
- As a Machine Learning Engineer Intern, you will partner with other software engineers to build machine-learning based products and/or solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
Responsibilities include but are not limited to:
Using or developing machine-learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis and others, to solve applied problems in Computer Vision.
Interacting with users to define requirements for breakthrough product and/or solutions.
Utilizing current programming methodologies to translate machine learning models and data-processing methods into software, in either research environments or specific product environments.
Completing programming, testing, debugging, documentation and/or deployment of the solution and/or products.
Engineering Big Data computing frameworks, data modeling and other relevant software tools.
The ideal candidate should exhibit the ideal behavioral traits:
Passion for technology and software
Written and oral communication skills
Analytical problem solving and troubleshooting skills
Teamwork skills and partnership skills
Demonstrate tolerance of ambiguity and self-motivation
Internship will take place during 2022 and compensation will be given accordingly based on candidate education level and internship duration
You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Knowledge and/or experience listed below would be obtained through a combination of your school work and/or classes and/or research and/or relevant previous job and/or internship experiences.
Pursuing a master's degree or PhD degree in Computer Science or Computer Engineering or Electrical Engineering or related discipline (preferably in final year)
6+ months of experience working with foundation in Computer Vision including Deep Learning
3+ months of working knowledge in one or more of the following areas:
Development experience on both Windows and Linux operating systems. Good understanding of Windows internals and Linux kernels.
Computer architecture, networks and operating systems knowledge.
Systems background in parallel and distributed computing, communication protocols, client-server paradigm.
Performance optimization and tuning, e.g. loop vectorization, optimal data retrieval, etc.
Service-oriented architecture, microservice architecture, multi-tiered and distributed architecture
Data structures and algorithms
Exposure to modern machine learning frameworks, orchestration frameworks, containerizing solutions
Experience in system integration, management and verification
Inside this 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.
Intel Corporation will require all new U.S. employees to be fully-vaccinated for Covid-19 as a condition of hire unless they have an approved accommodation (https://jobs.intel.com/page/show/candidate-help-desk) in place under applicable law. Newly-hired employees will be required to provide proof of vaccination prior to their start date.
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.