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 Infrastructure Engineer to build scalable, highly available and robust platforms democratizing AI/ML for the company.
Design, build, evolve, andscale state-of-the-art Machine Learning system infrastructure powering PayPal's AI/ML and Data Processing Platforms.
Explore, evaluate and utilize cutting edge Machine Learning frameworks and solutions in the industry, iterate quickly in prototyping platform build-ups.
Work with Product Owners, Architects, and platform users to design, implement and test customer facing Machine Learning platform capabilities.
Work with Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.
Drive platform user adoptions through documentation, presentations and demos.
2 years minimum experience in software development industry.
BS/MS in Computer Science or equivalent experience in related field.
Solid software engineering skills with proficiency in one or more programming languages including Java, Python, Golang, Scala, Julia, etc.
Experience in design and implement large scalable distributed systems with micro-services and heterogenous platform components.
Experience with Machine Learning frameworks and libraries such as H2O, TensorFlow, PyTorch, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc. is a plus.
Experience with data processing technologies (batch & streaming) and pipelines such as Spark, Flink, Google Dataflow, Dataproc etc. is a plus.
Experience with leading industry Machine Learning tools and operation framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc. is a plus.
Experience in container-based deployment using Docker and Kubernetes.
Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms using tech stacks and tools such as Splunk/SignalFX, ELK, Grafana, Prometheus etc. is a plus.
Strong verbal and written communication skills.
Travel Percent: 0
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.
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