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PayPal, Inc.

Machine Learning Engineer 2

PayPal, Inc., San Jose, CA, United States


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 2 in San Jose, CA

Job Duties:

  1. Communicate with different business functions to frame business problems to data science problems.
  2. Extract and analyze very large volume of data covering a wide range of information from user profile to transaction history.
  3. Build state-of-the-art statistical procedures, algorithms and models to solve a range of problems from detecting sophisticated fraud patterns to improving customer engagement.
  4. Work with engineering teams to deploy data science solutions.
  5. Audit and monitor data science delivery performance and fix any gaps or anomalies.
  6. Communicate project status accurately and in a timely manner.
  7. Ensure that projects adhere to established standards and methodology practices.
  8. Facilitate problem solving and escalations to maintain schedule.

Telecommuting permitted – work may be performed from anywhere within the U.S.

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Statistics, Computer Science, or closely related quantitative discipline or Bachelor’s degree, or foreign equivalent, in Data Science, Statistics, Computer Science, or closely related quantitative discipline plus five years of experience in the job offered or five years of progressively responsible experience in the field of statistics or data analytics.

Special Skill Requirements:

  1. SQL (Apache Spark, Hadoop Platform)
  2. Python programming
  3. Data Manipulation and Analysis
  4. Machine learning
  5. Natural Language processing
  6. Probability & Statistics

Base salary: $157,000.00-204,600.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

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

Travel Percent: 0

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 the benefits and conveniences of both locations.

Commitment to Diversity and Inclusion:

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.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued.

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