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ML Infrastructure Engineer in Shanghai at PayPal

Date Posted: 5/27/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Shanghai
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    5/27/2020
  • Job ID:
    R0055148

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.

PayPal is the world’s leader in online payments processing. The company helps buyers and sellers around the world make and receive payments. PayPal is headquartered in San Jose, CA with multiple offices within the United States and around the world. We are hiring creative and talented HPC Infra Engineers to the PayPal AI Platform team. You will have a chance to work on solving real world problems and gain practical experience in end to end Machine Learning life cycle. You will design, build, and optimize the platform for ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.

Responsibilities

  • Build, evolve, and scale state-of-the-art machine learning system infrastructure powering PayPal's data and Ai Platforms.
  • 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 for HPC platform
  • Iterate quickly through latest packages and R&D on latest information

Qualification

  • 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.
  • Experience with configuration Management tools like Ansible, puppet, is a big plus.
  • Hands on experience with HPC – GPGPU, Nvidia, CUDA.
  • Expert in Kickstart, Jumpstart, NIM, AutoYast Installation Methods.
  • Administration (Installation, Configuration, etc.) knowledge of *nix systems and other architectures like ppc64le.
  • Have worked on Netapp and EMC Storage systems.
  • Build, maintain and manage Docker runtime and images on Ubuntu and CentOS for GPU and HPC platforms.
  • Container-based deployment experience using Docker and Kubernetes.
  • Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms using tools like Grafana and Zabbix.
  • 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: Caffe, Sci-kit, Torch, Theano, TensorFlow, SparkMlib, etc
  • 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.
  • MS degree in Computer Science or related quantitative field or Ph.D. degree in Computer Science or related quantitative field
  • Proven experience to translate insights into business recommendations
  • Experience with Kubeflow, Jupyter Notebook, Katib, Airflow, Argo
  • Experience with one of the deep learning frameworks such as Tensorflow or Pytorch
  • Experience with GPU technology such as CUDA, Numba, TensorRT
  • Experience with Hadoop/HBase/Pig or MapReduce /Spark

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.

R0055148