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Staff Machine Learning Engineer

Company: PayPal, Inc.
Location: Scottsdale
Posted on: January 12, 2022

Job Description:

Staff Machine Learning Engineer in Scottsdale, Arizona, United States of America at PayPal Job Description At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We're a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We're guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

The PayPal Personalization AI team designs, builds, maintains, and improves the machine learning models and ML infrastructure that are used by various PayPal domains serving millions of users. As a Staff ML Engineer in our fast-moving, small entrepreneurial team, you will design, build, and optimize our multiple recommendation systems, as well as the ML pipelines and data infrastructure. You will own projects end-to-end and drive design decisions that benefit millions of users world wide.

About You: - If you're on the fence about whether you meet all of the requirements for this role, please apply! -

  • MS/PhD in Computer Science or a related field, specialization in ML/AI.
  • 3+ years of full-time experience as a Machine Learning Engineer or similar roles.
  • Solid knowledge in statistics/experiment design.
  • Experience of implementing production machine learning systems, and solid understanding of machine learning theory.
  • Fluent in Python, and experience in object-oriented design and Java/Scala.
  • Knowledge of relational databases and query authoring (SQL) In this role, you will:
    • Design, build and optimize ML models that feed into various recommendation systems
    • Maintain and improve large scale ML pipelines
    • Design and develop real-time ML and recommendation algorithms on the recommendation engine
      For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal's 400 million active account holders the confidence to connect and transact in new and powerful ways. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

      PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at

      R0077704 Together, we'll build a world of
      economic opportunity. Grow your career with us. Please access our internal career opportunities while connected to our corporate network. Questions about a position or an application?
      We have answers to the most commonly asked questions.

Keywords: PayPal, Inc., Scottsdale , Staff Machine Learning Engineer, Engineering , Scottsdale, Arizona

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