PayPal MTS 2, Software Engineer 26 in San Jose, California
MTS 2, Software Engineer 26in San Joseat PayPal
Date Posted: 3/26/2018
Employee Type: Full-Time
Experience: Not Specified
Date Posted: 3/26/2018
Job ID: R0029842
HELP US REIMAGINE MONEY.
At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do.
We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too.
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 210 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.
The Artificial Intelligence, Machine Learning and Deep Learning Platform Engineer defines, designs and codes AI Platforms to support various AI applications at PayPal. The applications include Fraud Mitigation, Compliance with Government regulations, Customer Service/Chatbot use cases. This designs should consider availability, scalability, manageability and agility of various AI applications. In addition, they assess new and emerging new technologies and industry trends for internal adoption and/or contribution.
We are looking for a talented and highly motivated seasoned engineer for a technical domain that comprises of decision management, analytics and real-time data platform. This platform provides capabilities for PayPal's financial, credit and compliance risk management and automation of customer support activities. The candidate will own code, that provides building blocks for scalable data science platform (aka Machine Learning as a Service *aaS). Candidate will own and drive development of key Risk and Compliance platform that power all of PayPal Risk and Compliance checks.
Inferencing Platform for executing Deep Learning Models at scale. 100+M requests/per day.
Designing a Training Platform to support modern day Data Scientists. Help our data scientists make sense of the data using the latest training techniques.
Designing Data ingestion, processing, persistence, management at scale. 10+PB.
Designing the right set of high performance compute like GPUs, TPUs, etc to support the AI activities.
Natural Language Processing, Chatbot, Text parsing, Sentiment Analysis.
In order to maintain the promise of "world class risk management", we need someone who is continuously looking into advancing functional capabilities, improve operational efficiencies, improve scalability and reliability of the platform.
The ideal candidate is a self-starter and self-motivated individual with strong consulting, technology skills, commitment to quality, positive work ethic and "can do" attitude.
Knowledge of ML frameworks: Tensorflow, Caffe2, Torch, etc
Proficient in one or more of Java, C++, Python is required
Knowledge of databases: RDBMS, NoSQL (e.g. Cassandra, Aerospike, etc)
Experience in working with GPU, knowledge of GPU Cuda/cudaDNN is a plus
Real-world experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes)
Familiar with big data – Hadoop, Hive, etc
Familiar with ML as a Service in the cloud environment is a plus
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.
Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.