Machine Learning Infrastructure Engineer in Tel Aviv at PayPal

Date Posted: 8/16/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Tel Aviv
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    8/16/2019
  • Job ID:
    R0047231

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 286 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.

Machine Learning Infrastructure Engineer is a position for an experienced Dev-ops with AI experience.

Role and 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.
- Be the Engineer and DEV OPS to the team and help build scalable, secure, durable Ai Platforms.

Prior Experience -
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
- Expert in Kickstart, Jumpstart, NIM, AutoYast Installation Methods.
- Experienced in Installing, configuring, and upgrading of *nix systems and other architectures like ppc64le.
- Experienced in working with Netapp and EMC storage systems for NAs and SAN.
- Build, maintain and managed Docker runtime and images on Ubuntu and CentOS for GPU and HPC platforms.
- Experience on container-based deployments using Docker and Kubernetes.
- Experience in monitoring and performance analysis of Machine Learning, AI and GPU server platforms using tools like Grafana and Zabbix.
- Understanding of ML frameworks and techniques
- Experience with manageing, deployment of large scale distribute systems and heterogenous platform components
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
- Develop and integrate automation and tools for alerting, monitoring and providing NO-OP 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.

R0047231

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