Machine Learning Engineer Intern(6 months)

PayPal
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Job Description

At PayPal, we are looking for smart, tenacious and hardworking individuals who can challenge themselves in a highly collaborative environment. We welcome engineers who are passionate about their craft, interested in the digital payments industry and excited to grow with us.

Job Description:

Position: Machine Learning Engineer Intern

Responsibilities:

  • Develop and deploy Machine Learning models into production.
  • Develop innovative solutions for real-world, large scale problems to enhance customer & employee experience.
  • Collaborate effectively with cross functional teams different geographical locations to ensure fruition of projects.
  • Create new application ideas and show its proof of concept to evaluators through rapid prototyping.

Minimum qualifications:

  • Grad/Postgrad in computer science, artificial intelligence, or related technical field.
  • High proficiency in fundamental technical skills (Programming language like Java/Python/R; database language like SQL; strong UNIX background; working knowledge of Hadoop, Map-Reduce, Hive, Pig)
  • Experience with one or more deep learning libraries and platforms (e.g., TensorFlow,PyTorch, etc).

The internship is in APAC.

globaluniversityinternmachinelearning

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more.

Company Info.

PayPal

PayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.

  • Industry
    FinTech
  • No. of Employees
    30,900
  • Location
    2211 North 1st Street, San Jose, CA 95131, USA
  • Website
  • Jobs Posted

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