Machine Learning Engineer 3

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

We are seeking a highly skilled and passionate ML Research Scientist to join our team. In this role, you will focus on researching the latest machine learning techniques and tailoring them to address PayPal's unique business challenges. You will engage in literature research and build innovative solutions to revolutionize our AI/ML systems. At PayPal, we believe in the power of collaboration and innovation to drive growth and success. Join us and be a part of a dynamic team dedicated to pushing the boundaries of machine learning and data science. You'll have the opportunity to work on challenging problems, develop state-of-the-art solutions, and make a significant impact on the future of financial technology.

Job Description:

• Minimum experience: Master’s degree with 4+ years of experience, or PhD with 2+ years of experience as a ML Research Scientist or in a similar role. BS, MS, or PhD in Computer Science or a related technical discipline (or equivalent). First-author publications in top conferences are a plus. 
• Machine Learning Expertise: Strong understanding of various machine learning methods. Excellent knowledge of machine learning frameworks such as Keras, TensorFlow, and PyTorch, as well as MLOps platforms.
• Learning and Research: Passionate about learning state-of-the-art machine learning frameworks and algorithms from both academic and industry sources, with a habit of reading relevant research papers and a willingness to explore new areas.
• Technical Skills: Excellent understanding of computer science fundamentals, data structures, and algorithms. Familiar with object-oriented design methodology and application development in Python.
• Team Collaboration: Strong communication skills and the ability to work effectively in a collaborative team environment.
• Big Data Technologies: Familiarity with Big Data-related technologies to manage large volumes of complex data, such as PySpark, and BigQuery.
• Problem Solving and Creativity: Excellent problem-solving skills and the ability to think critically and creatively. Ability to think outside the box and approach challenges with innovative solutions.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.