Senior Staff Machine Learning Engineer, AI
Job Description
- 12 years of relevant work experience
- Bachelor's degree or equivalent experience
- Previous management experience
- Hands-on AI/ML Engineering or AI Systems Development
- Hands-on experience deploying LLM-based systems in production
- Strong Python skills; production-grade development practices
- Experience with Model serving frameworks
- Experience with pipeline orchestration tools
- Solid grasp of LLM, RAG architectures, embedding generation, and prompt optimization
- Familiarity with at least one multi-agent framework
- Flexible work environment
- Employee share options
- Health and life insurance
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:
Job SummaryWe are seeking a hands-on AI Engineer to help design and build the next generation of reusable AI capabilities — including LLM pipelines, multi-agent systems, and production- grade model infrastructure. This is a strategic individual contributor role sitting within our core foundational AI team, focused on developing modular, scalable, and transferable components that downstream teams can leverage to accelerate their own AI solutions.
You’ll work across the full AI lifecycle — from data preprocessing and model orchestration to serving, observability, and optimization — while embedding agentic reasoning and orchestration capabilities into the platform.
Job Description:
Essential Responsibilities:
Define and drive the strategic vision for machine learning initiatives within the team.
Lead the development and optimization of machine learning models.
Oversee the preprocessing and analysis of large datasets.
Deploy and maintain ML solutions in production environments.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models, making necessary adjustments.
Mentor and guide junior engineers and data scientists.
Ensure adherence to best practices and industry standards in ML development.
Minimum Qualifications:
Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
Previous management experience
Preferred Qualification:
Preferred Skills:
• Solid hands-on exposure in AI/ML Engineering or AI Systems Development
• Hands-on experience deploying LLM-based systems in production
• Strong Python skills; production-grade development practices
• Experience with Model serving frameworks
• Experience with pipeline orchestration tools
• Solid grasp of LLM, RAG architectures, embedding generation, and prompt
optimization.
• Familiarity with at least one multi-agent framework
Subsidiary:
PayPalTravel Percent:
0For 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.
