Staff Machine Learning Engineer

Join to apply for the Staff Machine Learning Engineer role at PayPal

Join to apply for the Staff Machine Learning Engineer role at PayPal

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:
What you need to know about the role: As a member of the engineering team, you will be responsible for the development and delivery of the applications and services that power the digital wallets ecosystem. You will work closely with product, design, and analytics teams to understand payments ecosystems that our software is enabling. We're looking for talented, motivated, and detail-oriented technologists with a passion for building robust systems at scale. We value collaboration, communication, and a passion for achieving engineering and product excellence.
Job Description:
Meet our team:
We are a team of small and self-driven engineers & product managers to deliver innovative solutions to drive business impact, on a mission to empower consumers with Digital Wallets and enable commerce globally.
Your way to impact:
As a Senior Machine Learning Engineer in the team, you will be leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments and mentoring of junior engineers. You will be responsible for developing industry-leading experiences that bring unquestionable value to both merchants and buyers. You will use your years of technical expertise and a solid understanding of the business domain to help us improve the scale, reliability, and performance of our platforms.
Your day-to-day:

• Design and deploy scalable generative AI solutions, Data Analysis based decision making, productize ML models that enhance PayPal's ability to provide a seamless customer experience
• Design and deploy scalable generative AI solutions as part of the ecosystem.
• Lead architectural discussions and contribute to overall technical direction, advocating for best practices and innovative solutions.
• Optimize software performance, identifying and resolving bottlenecks via monitoring, logging, and metrics to enhance the user experience.
• Act as a strong advocate for clean and scalable principles and practices in all areas, including coding, documentation, automation, etc.
• Be a champion of high-performing, secure, and reliable software services
• Identify critical non-functional requirements for the work your team prioritizes (Availability, Security, Performance, Scalability, and Observability), and implement them with your team.
• Collaborate and communicate effectively with all technical and non-technical partners and stakeholders (Architecture, Developer Experience, Product, Design, Analytics, Legal, Marketing, etc.)
• Communicate frequently with your team to ensure shared understanding around the new products and features under consideration.
• Mentor and guide junior engineers, fostering their professional growth and promoting a collaborative and knowledge-sharing environment.
• Understand and apply our technical architecture to ensure consistent, reliable, and secure deployments.
• Enhance and maintain existing product capabilities as required.
• Bring fresh ideas for continuously improving our software and your team.
• Advocate for ways to avoid and remediate technical debt continuously.
• Participate in program planning, influencing the product and technology roadmap and driving outcomes.
  
  

What you need to bring:

• 7+ Years of experience
• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
• Expertise in advanced analytical and statistical techniques to identify trends, issues, and opportunities
• Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
• Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities.
• Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
• Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.
• Expertise in SQL, Excel, and visualization tools such as Tableau or Quickview.
• Good 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.
• Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in AWS is a plus
  
  

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 U.S. national annual pay range for this role is $152,500 to $262,350
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 We Are:
To learn more about our culture and community visit 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
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.
REQ ID R0125867

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development, Financial Services, and Technology, Information and Internet

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