Sr. MTS, Machine Learning Architect

2 Months ago • All levels • Artificial Intelligence

About the job

Summary

PayPal seeks a skilled Machine Learning Architect to design and implement secure, high-performing data solutions for fintech initiatives. Leverage expertise in cloud platforms, AI/ML, and data storage technologies to build a robust data platform. Translate business needs into technical solutions, architecting scalable infrastructure for diverse data types while ensuring compliance with financial regulations.
Must have:
  • Data Architect
  • AI/ML Expertise
  • Cloud Platforms
  • Data Pipelines
Good to have:
  • Vertex AI
  • OpenAI APIs
  • Containerization
  • Hybrid Data
Perks:
  • Flexible Work
  • Employee Shares
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The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

PayPal Data Architecture team seeks a highly skilled Architect with AI/ML and Data expertise to design and implement secure, high-performing end-to-end data solutions for fintech initiatives. You'll leverage your expertise in various data storage technologies, including cloud platforms and AI/ML specific solutions, to build a robust data platform that empowers our customers. Partnering with business units, you'll translate their needs into AI/ML solutions, architecting scalable and secure infrastructure for diverse data types, all while ensuring compliance with financial regulations.

Job Description:

PayPal Data Architecture team is building a best-in-class data platform that empowers our customers in the financial sector. We're looking for a passionate Data Architect with expertise in AI/ML to join us in designing and implementing secure, high-performing data solutions. 

 

What You'll Do 

In this role, you'll be a trusted advisor to business units, partnering with product engineering teams to architect data solutions that leverage AI/ML to power high priority fintech initiatives. You'll be embedded with these teams throughout the entire data lifecycle, from design to implementation. 

 

Core Responsibilities 

  • Design and implement reliable & scalable AI/ML-powered solutions 

  • Translate business problems in the financial domain into technical solutions that leverage machine learning. 

  • Design data processing pipelines to efficiently ingest, store, and prepare data for AI/ML training and simulation. 

  • Integrate AI/ML models into existing fintech applications and workflows. 

  • Document architectural decisions, design patterns and best practices. 

  • Architect Scalable and Secure Data Infrastructure 

  • Design and implement data storage solutions for various data types (structured, unstructured, semi-structured) suitable for AI/ML (vectorization, embedding creation, model training) on cloud platforms like GCP or Azure. 

  • Leverage expertise in containerization technologies (Docker, Kubernetes) to manage AI/ML workloads on the cloud. 

  • Ensure your data architectures adhere to security best practices for cloud-based AI/ML deployments. 

  • Demonstrate and share knowledge of AI/ML Platforms and Tools 

  • Possess in-depth experience with Vertex AI, including its tools for data management, model training (AutoML and custom training), model deployment, operations and monitoring. 

  • Understand the capabilities of OpenAI's APIs relevant to fintech needs. 

  • Provide guidance and mentorship to engineers. 

  • Communicate technical and non-technical concepts effectively to all technology and business stakeholders.  

  • Demonstrate Hybrid Data Architecture Expertise 

  • Craft solutions that seamlessly integrate on-premises, cloud-based, and hybrid data storage options for optimal data management across the organization. 

  • Support Data Modeling and Governance 

  • Design data structures and access patterns that meet both functional (aligning with business needs) and non-functional requirements (prioritizing security, availability, performance, scalability) to create a robust and user-friendly data platform. 

  • Ensure your data architectures and designs adhere to compliance and governance standards for AI/ML models in the financial sector (e.g., explainability, fairness). 

 

Qualifications 

  • Proven experience as a Data Architect with a focus on AI/ML in the financial sector. 

  • Strong understanding of data management principles and best practices. 

  • Experience designing and implementing data pipelines for AI/ML projects. 

  • In-depth knowledge of cloud platforms like GCP or Azure for data storage and management. 

  • Expertise in containerization technologies (Docker, Kubernetes). 

  • Clear vision for architecture designs and good communication skills to articulate them to all levels of stakeholders. 

  • Experience with Vertex AI and/or OpenAI is a plus. 

 

Why Join Us? 

  • Be at the forefront of building a robust and scalable data platform that empowers our customers in the financial sector. 

  • Collaborate with talented engineers and data scientists to create innovative AI/ML solutions. 

  • Work in a fast-paced and dynamic environment with a focus on continuous learning and growth. 

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

-

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

to

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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 paypalglobaltalentacquisition@paypal.com.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

View Full Job Description

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