Staff Machine Learning Engineer

1 Month ago • 8 Years + • Research Development

Job Summary

Job Description

This role focuses on leading the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems in payments optimization using AI. The engineer will contribute to next-generation AI architecture and define how autonomous AI systems can be reliably deployed at scale. Responsibilities include solving real-world payments problems with AI and ML, integrating industry-standard MLOps pipelines for faster development and deployment cycles, architecting scalable AI/ML systems for mission-critical projects, and mentoring junior engineers.
Must have:
  • Master's degree in Computer Science, Data Science, Engineering, or related field
  • 8+ years of experience developing and deploying ML models in production
  • Proficiency in Python and Java
  • Experience building RESTful APIs
  • Strong communication and collaboration skills
Good to have:
  • Strong understanding of supervised/unsupervised learning, deep learning, and model evaluation
  • Familiarity with agentic and multi-agent frameworks (LangChain, LangGraph, ReAct)
  • Experience with LLMOps concepts
  • Experience with tabular and textual data preprocessing
  • Experience with containerization (Docker, Kubernetes)
  • Experience with MLOps frameworks (MLflow, TFX, Kubeflow)
  • Experience with streaming data systems (Kafka, Flink)
  • Experience in system architecture and solution design
  • Experience building scalable AI/ML systems
Perks:
  • Flexible work environment
  • Employee share options
  • Health and life insurance

Job Details

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 Summary:

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will Be a core part of our mission to reimagining payments optimization using AI. You'll work on some of the most critical challenges, contribute to next-gen AI architecture, and help define how autonomous AI systems that can be reliably deployed at scale.

Job Description:

Essential Responsibilities:

  • Solve real-world payments problems with AI and ML, bringing deep technical expertise and product thinking to areas such as authorization rate, cost optimization, availability improvement 

  • Enable faster development and deployment cycles and robust model operations by integrating industry-standard MLOps pipelines. 

  • Be a thought leader and architect scalable, production-grade AI/ML systems for mission-critical projects 

  • Mentor and lead junior engineers raising the technical bar for the team. 

Minimum Qualifications:

  • Master’s degree in Computer Science, Data Science, Engineering, or a related field. 

  • 8+ years of experience developing and deploying ML models in production environments. 

Preferred Qualification:

  • Strong understanding of supervised and unsupervised learning, deep learning algorithms, model evaluation, and algorithm tuning. 

  • Familiarity with agentic and multi agent frameworks (e.g., LangChain, LangGraph, ReAct, or similar) and the basics of LLMOps concepts like observability, routing, state management, and modular agents. 

  • Proven experience working with tabular and textual data, including advanced preprocessing techniques. 

  • Proficiency in Python (preferred) and Java, with hands-on experience building RESTful APIs and integrating AI/MLmodels into live services. 

  • Solid grasp of containerization (Docker, Kubernetes), and MLOps frameworks (e.g., MLflow, TFX, or Kubeflow), streaming data systems (e.g., Kafka, Flink) and real-time ML inference. 

  • Demonstrated experience in system architecture, solution design, and building scalable AI/ML systems. 

  • Strong communication and collaboration skills; ability to work in a fast-paced, cross-functional environment. 

Subsidiary:

PayPal

Travel Percent:

0

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 talentaccommodations@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.

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About The Company

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. ​Learn more at. Learn more about privacy-related questions or data retention.

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