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Sr. MTS, Software Engineer in Shanghai at PayPal

Date Posted: 7/9/2021

Job Snapshot

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 392 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.

We are seeking an exceptional technology architect to work with a talented geographically distributed engineering team to build a world class AI/ML platform for PayPal. Join us as we pursue our disruptive new vision to democratize AI/ML across PayPal to support a diverse set of use cases, from conversational agents that leverage state-of-the-art language models, to payment routing optimization systems, to some of the industry’s most complex graph models that power near real-time risk detection for millions of payments per day. The AI/ML Platform will be pivotal in enabling delightful experiences to our 375 million Customers and 27+ million merchants, in addition to advancing capabilities to win 1 billion daily active users. Machine learning is instrumental to PayPal’s strategy; as our CEO Dan Schulman stated earlier this year, we are building solutions that “...transcend payments, commerce and financial services, all of that on a common platform, all of that leveraging common data elements and machine learning”. The AI/ML architect will drive the technical design and implementation in building a secure, reliable, scalable and high performing platform. The stack is being built from the ground up on modern open-source, cloud-based technologies with sponsorship from the highest levels of management to accelerate AI/ML adoption within PayPal Inc. Detailed scope include feature store, streaming, simulation and graph compute platforms. Given the rapid pace and evolution of tools and frameworks in this space, the leader will require extensive familiarity as well as ongoing commitment to staying current with many technologies and tools within the data, analytics, and AI/ML space. The team is uniquely positioned to bring together ground-breaking innovations and build solutions for some of the most skilled data science and machine learning teams in the world. If you are an experienced engineering architect with sharp problem solving, collaboration and communication skills, and if you like to work in a highly collaborative, values-driven environment with passion to innovate, come join our team; together we will build cutting-edge AI/ML solutions and transform the future of financial services for millions around the world!

You will work closely with world-class data driven e-payment businesses using cutting-edge technologies and advanced data analytical solutions in various compute scenarios. Your job is to design/implement/architect data driven compute platform to support multiple business units including Risk, Compliance, Marketing and etc. The challenges include building a high performance, high throughput and high available data driven AI/ML platform. You are accountable for long term architecture to address continuous business growth. Detailed scope includes feature store, streaming, simulation and graph compute platforms.

  • Lead and partner with product development team to design, build and deliver a highly secure, reliable, scalable and performant AI/ML platform to enable standardized self-service end to end model development and production analytical/ML applications.
  • Drive a results-oriented culture with a strong focus on engineering excellence, execution, and craftmanship as a Customer Champion
  • Develop trusted partnership and collaboration with business, product, data scientists and engineering leaders to drive optimized platform product delivery; Manage stakeholder planning and communications ensuring key outcomes
  • Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers 
  • Balance long term considerations with practicable solutions, commitment to excellence, and taking initiative to resolve problems; holds internal stakeholders accountable where appropriate
  • Strong communication, listening, interpersonal, influencing, and negotiation skills; able to convey important messages in a clear and compelling manner
  • Develops loyalty and commitment in others by communicating clear expectations, developing and mentoring junior engineers, and setting an example in one’s own behavior

Preferred Qualifications

  • Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform product
  • Global mindset with ability to think about culture, language, and other aspects when putting the customer at the center of all outcomes as well as practice strong ownership, drive change in a large, matrixed organization
    • Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Perl, Python, C++, Java, Python, Ruby, Scala and etc.
    • Good understanding of database principles and SQL beyond just data access
    • Good understanding of NoSQL database like HBase, Redis, Aerospike.
    • Good understanding of messaging like Kafka and streaming compute like Flink/Spark Streaming/Storm.
    • Good understanding of Data Modelling Concepts, experience with modelling data and metadata to support relational & non-relational database implementation, experience with building Logical and Physical data models.
    • Good understanding of big data technologies, open-source data processing frameworks. E.g., Spark, Hadoop, HBase, Elasticsearch, Pig, Hive, and so on.
    • Good understanding of data processing, data structure optimization and design for high scalability, availability, reliability and performance.
    • Good understanding of REST-oriented APIs, understanding of distributed systems, data streaming, Complex Event Processing, NoSQL solutions for creating and managing data integration pipelines for Batch and Real Time Data needs.
    • AI/ML knowledge is a strong plus.
    • Knowledge about public cloud infrastructure such as Google cloud platform/AWS/Azure is a strong plus
    • Strong analytical and problem-solving skills
    • Have a strong background in leading teams and making others great
    • Intermediate level knowledge on following business domains is a plus, E.g., Marketing, Customer Service, Payments, e-commerce
  • Very high EQ and ability to empathize and communicate with customers and stakeholders at all levels of the organization
  • Excellent oral and written communication skills in English. Communication style motivated by brevity and purposeful outcomes with experience interfacing with executives

Basic Qualifications

  • BS degree or above in Computer Science or Engineering
  • 10+ years of experience in software engineering with a focus on technology platform, data and/or machine learning
  • 5+ years of experience in software architect
  • 3+ years of experience on data driven compute platform

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