Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Intel Machine Learning Graduate Intern in Phoenix, Arizona

Job Description

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

Qualifications

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.

Minimum Requirements

  • 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

Preferred Requirements

3+ months of working knowledge in one or more of the following areas:

  • C++, Go, Javascript, Python and C# programming languages

  • 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.

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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