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ML Infrastructure Engineer in San Jose at PayPal

Date Posted: 11/5/2020

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 305 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.

We are looking for a collaborative and versatile ML Engineer to be an integral part of our fast-paced, agile development team. At Paypal, we strive to provide the best in class payment experience with superior risk capabilities. This is possible with advanced data science technologies and machine learning models. In our next chapter for Risk, we are innovating to bring the same capabilities with automation built-in As part of a large cross functional team comprising of data scientists, analysts and software engineers we will be automating model deployment, model monitoring, and model governance with a platform that bridges the gap between engineers, data scientists, and business stakeholders in production. We will manage and orchestrate all the steps from data ingestion and transformation, to model training and serving these models as scalable, fault-tolerant web services. This will help data scientists and engineers deploy their data science workflow into production in hopes to free data scientists from writing more bash scripts or glue code and instead allow them to focus on feature and model building, thereby accelerating their development lifecycle.

Responsibilities

  • Build, evolve, and scale state-of-the-art machine learning system infrastructure powering PayPal's data and AI Platform
  • Be a key engineer contributing to the design, development and operation of the large-scale infrastructure systems
  • Work with other Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.
  • Creating data pipelines and overall workflow orchestration to cover data needs
  • Bridge the gap between engineering team and data science teams
  • Design and implement automation solutions at fast pace
  • Analyze and support requirements from machine learning specialists


Qualifications

  • 2 Years Minimum Experience
  • BS/MS in Computer Science or equivalent experience in related field.
  • Strong verbal and written communication skills
  • Interest in a technical role involving platform and infrastructure operation and management
  • Experience with managing, deployment of large distributed systems (like  Hadoop) and heterogenous platform component
  • Container-based deployment experience using Docker and Kubernetes
  • Good understanding of programming languages like Java or C++, scripting languages like Python or Perl, and System administration experience of Unix or Linux systems
  • Experience with Machine Learning technologies: PyTorch, TensorFlow, SparkMlib, etc is a HUGE plus
  • Experience with integrating applications and platforms with cloud technologies like AWS, GCP, etc
  • Develop and integrate automation and tools for alerting, monitoring and providing NoOps deployments

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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

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