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Data Platform Lead, Machine Learning in San Jose at PayPal

Date Posted: 11/19/2018

Job Snapshot

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 254 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. 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.

The Data Platform Engineering Team is looking for a highly talented, self-driven, proven software engineer to help design and build highly available, reliable, scalable and distributed platforms for a variety of use-cases spanning near-real time analytics and machine learning.

You will have significant responsibility and influence in shaping the future of machine learning data platform engineering at PayPal. This position involves hiring and leading a data engineering team to develop the large-scale machine learning platform and analytical solutions using modern machine learning data technologies on big data ecosystem. 

Successful candidates will have strong leadership, engineering skills, and communication, as well as a belief that data-driven processes lead to great products.

Responsibilities: 

  • Be hands-on in leading and performing development work during the production cycle.
  • Design and develop data platform that support high performing and scalable analytic applications and machine learning models.
  • Work closely with Data science to integrate amazing innovations and algorithms into complex analytics systems.
  • Think out of the box - don't be afraid to innovate!
  • Co-develop & follow best practices related to SDLC (Software Development Life Cycle) & agile methods to raise the level of automation and quality in our code repositories
  • Embrace open-source – either by using it, extending it, or inventing new projects.
  • Share your work with the world-at-large via authoring blogs & articles, contributing to open source projects, and by speaking internally (and external to PayPal).
  • Mentor colleagues in order to help develop strong coding practices and standards across the organization.

Requirements:

  • Expertise on Python is mandatory.
  • Proficient in one or more of R, Java, Scala, and Go is a plus.
  • Prior experience preparing data for analysis, building predictive models on large scale platforms, and helping to drive innovation into the modeling process/offerings.
  • Experience working with Big Data Technologies and applying large scale Machine Learning techniques within these technologies.
  • Knowledge of working with visualization libraries for analytics and SQL experience are bonus.
  • Any open-source contribution or external conference talk is definitely a plus.

Basic Qualifications:

  • MS degree in Computer Science, Statistics, Engineering, Mathematics, (PhD preferred) with specialization in Machine Learning.
  • 10 to 12 years of overall industry experience. 5+ years of experience in building and managing highly scalable, reliable, available, resilient, distributed and parallel computing systems or machine learning platform.

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

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.

R0036927

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