Consumer Portfolio Data Scientist
2 weeks ago
Senior AI Machine Learning Engineer
Location: San Jose, California or Chicago, Illinois, United States of America
Job Description Time TypeFull time
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.
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.
Job Description Summary:
As a technical lead in PayPal’s Enterprise AIML platform team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams.
Your day-to-day:
- Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience.
- 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.
- Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
What do you need to bring:
- Masters/bachelor’s in computer science, Machine Learning, or related disciplines.
- Strong proficiency in machine learning concepts, algorithms, and techniques.
- 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.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Additional Information:
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.
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.
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