Machine Learning Engineer 3

PayPal · Shanghai, China

Company

PayPal

Location

Shanghai, China

Type

Full Time

Job Description

Who we are

 

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

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Job Description Summary:

Machine Learning Engineer 3

Job Description:

  • Job Posting Title - ML Infrastructure Engineer
  • Job Description Summary
    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
  • Job Description

    ML Infrastructure Engineer

    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



    Qualifications

    • 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.

Subsidiary:

PayPal

Travel Percent:

0

Primary Location:

Shanghai - Dongfang Rd, Shanghai, China

Additional Locations:

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal’s 400 million active account holders the confidence to connect and transact in new and powerful ways. 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 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 [email protected].

Apply Now

Date Posted

10/31/2024

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