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:

Job Description:

PayPal, Inc. seeks Machine Learning Engineer 3 in San Jose, CA

Job Duties: Develop machine learning platform and AI applications to improve PayPal’s global business. Develop unique, best of breed fraud-detection solutions & cutting-edge technologies which are integrated into scalable and distributed systems that process millions of events daily. Implement machine learning platform, resolve machine learning problems, and deliver AI solutions in a scalable way. Prepare software technical design, develop new software functionalities, and maintain existing technical components using programming languages such as Java, Java EE. Analyze PayPal’s risk systems and algorithms and collaborate with data scientists and analysts on data centric analytic solutions. Use advanced algorithms and technology to deploy software code into PayPal’s live systems to secure PayPal's Global Data platform against fraud. Build end-to-end software system for model training, testing and deployment using agile methodology. Develop robust, scalable software systems using knowledge and experience with server-side development using Java, data structures and algorithms.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

Machine Learning and AI Natural Language Processing Python Server-side development with Java Data Structure and Algorithms Maven OOP skills Java EE technologies Big Data Platform, Hadoop, GCP Scripting

Additional Job Description:

Base Salary: $186,956-234,300 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

PayPal is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience.  Your recruiter can share more information about our total compensation package during the hiring process.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have