Sr Machine Learning Engineer

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:

We’re looking for a highly motivated AI Tooling Engineer to design and build AI-powered, scalable analysis tools that empower our analysts to work faster, dig deeper, and make better decisions. You’ll bridge the gap between data science, product engineering, and business analysis by developing AI-driven solutions that streamline data exploration, automate insights, and simplify access to complex datasets.AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:

What You’ll Do

• Design and develop internal-facing AI tools that help analysts explore data, generate SQL, detect anomalies, and summarize trends.
• Develop and maintain backend services and APIs to support AI and data workflows
• Query and profile data across multiple sources (BigQuery, logs, etc.) and ensure reliable, fast access for tools.
• Collaborate closely with analysts and stakeholders to deeply understand their workflows and build what matters most.
• Integrate LLMs (e.g., OpenAI, open-source models) for natural language interfaces, auto-insights, or content summarization.
• Build intuitive UIs or work with frontend engineers to create React-based apps.
• Ensure security and compliance with internal access controls, logging, and audit standards.
• Prototype, test, and iterate quickly based on feedback and evolving needs.

Must-Have Skills

• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field; 3+ years of experience in machine learning
• Strong programming skills in Python , with experience using data and ML libraries (pandas, scikit-learn, etc.).
• Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes.
• Experience with building backend APIs (FastAPI, Flask) and deploying services.
• Familiarity with LLMs and NLP concepts , and basic prompt engineering.
• Ability to build usable UIs with Streamlit, Dash, or collaborate with frontend teams.
• Strong product sense and empathy for analysts’ workflows and challenges, collaborate with stakeholders to understand requirements.

Nice-to-Have Skills

• Experience in risk or fraud domains big plus
• Experience with LLM applications like Retrieval-Augmented Generation (RAG) or semantic SQL generation.
• Cloud experience (GCP) and containerization (Docker).
• Background in MLOps, data quality monitoring, or internal tooling platforms.
• Experience with tools like Looker, Tableau from a data backend perspective.

Preferred Qualification:

Subsidiary:

PayPal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us .

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:

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.