Principal Software Engineer, Personalization

Paypal is seeking an experienced and visionary Principal Software Architect Recommendations to lead our efforts in developing recommendation and personalization capabilities. These capabilities aim to deliver the most meaningful shopping content to our customers at the right time. This role requires a strategic thinker with a strong technical background in machine learning and a passion for the practical applications of machine learning and AI.

Meet Our team:

The Consumer Platform team is responsible for providing foundation platform services and frameworks for the most important Consumer Experiences at PayPal. Personalization and recommendation technology is part of the Platform team and currently powers recommendations across all customer experiences across PayPal.

Job Description:

As a Principle Engineer on the Consumer Platform organization, you will define and drive the implementation of the long-term architecture that takes recommendation technology to the next level at PayPal.

You will architect and implement robust solutions to complex problems. Our team is fast and innovative, following agile methodologies. If you are self-driven, passionate about Identity technology, a team- player and have effective communication skills, this role will fascinate you

Your day to day:

Strategic Leadership:

• Develop and execute the technology strategy to enable realtime recommendations at scale
• Identify and analyze industry trends to ensure we are leveraging the latest evolutions of AI technology

Platform Development:

• Drive the architecture at PayPal to enable powerful recommendation technology that is easy to tune and integrate into customer experiences
• Drive deployment of new technologies needed to modernize Personalization
• Ensure the platform is scalable, reliable, secure, and provides an excellent employee experience.

Data Science:

• Partner with data science to ensure ease of model exploration and at-scale implementation of models
• Gather feedback to continuously improve platform offerings and address data scientists needs

Cross-Functional Collaboration:

• Work closely with product, engineering, marketing, sales, and customer support teams to align platform initiatives with business objectives.
• Coordinate with compliance and legal teams to ensure all activities meet regulatory standards.

Team Leadership:

• Lead and mentor the senior engineers on the team
• Foster a culture of pragmatism in applying advanced machine learning concepts to PayPal’s data

Thought Leadership:

• Represent PayPal at industry events, conferences, and within AI communities
• Advocate for PayPal’s vision and establish the company as a leader in machine learning, AI, and big data.

What do you need to bring:

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience:

• 12 years of experience in technology roles with at least 5 years in Principal or Architecture role in recommendation systems
• Proven track record in building and managing recommendation systems
• Deep understanding of big data technologies, recommendation systems, an artificial intelligence
• Experience in the payments or fintech industry is highly desirable.

Skills:

• Strong strategic thinking and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Ability to build and maintain relationships with external partners and developers.