Software Engineer 3

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

What you need to know about the role: We are hiring talented and creative ML engineer for AIML platform team based in San Jose CA, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. You will have a chance to work on solving real world problems and gain practical experience in end to end Machine Learning life cycle. You will design, build, and optimize the platform for ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.

Meet our Team:

PayPal AI/ML Platform is responsible for building the ML platform to help data scientists with the end-to-end model development lifecycle. We build state of the art and innovative ML infrastructure to support key product functions such as Fraud risk, Compliance, Personalization, Recommendations, Customer success, and other domains across PayPal.

Your way to impact:

• Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges.
• Ability to influence at all levels of the organization and across multiple domains.
• Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers.

Your day-to-day:

• Design and develop highly scalable and efficient platform that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end.
• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
• Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.
• Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
• Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
• Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.
• Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery.

What Do You Need To Bring:

Qualifications:

• Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.
• 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.
• Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
• Expertise in programming languages such as Python, Go, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to enhance the platform's capabilities.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
• Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC.
• Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.

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 paypalbenefits.com .

The U.S. national annual pay range for this role is $72700 to $176000.

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 paypalbenefits.com .

Who We Are:

To learn more about our culture and community visit about.pypl.com .

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com .

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 .

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

REQ ID R0111726