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Machine Learning Engineer Intern

As an intern at Synopsys, you will gain hands-on experience while working alongside industry professionals. You will develop and refine skills relevant to your major and future career by contributing to high-impact business projects. The Synopsys intern program integrates our interns into the culture with career opportunities upon graduation. This summer internship is full-time (40 hours/week) beginning May/June 2023 and will last three months.

Responsibilities:

As part of our plans to release a new Synopsys App Marketplace next year, we also want to deliver iconic experiences to our customers using the Marketplace. As an intern, your project will be focused on leveraging machine learning to improve end-user discoverability of apps on the marketplace by providing recommendations. The goal of this project is to increase usage and downloads of apps on our marketplace and learn where else we can leverage AI/ML across our portfolio.


Requirements:

  • Currently enrolled in college studying Computer Science
  • Basic understanding of AI/ML
  • Communication and Presentation skills
  • Must have a can-do attitude and teamwork mindset
  • Growth mindset

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.


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Synopsys has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.