-
Job Type
Full Time -
Experience
0-2 year -
Salary
$107,300 - $259,600 / Year -
Location
San Jose, CA, USA -
Job Function
-
Industry
Information Technology -
Qualification
Key Skills
Aartificial intelligence, Deep Learning, Machine learning techniques, Predictive Modeling
Job Description
What you need to know about the role:
PayPal is seeking a talented and experienced leader to head our Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. As the Head of ML, you will lead a team of ML Scientists and be responsible for managing a portfolio of ML solutions, including personalization, recommendation, and ranking of millions of shopping deals. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
Meet the team:
With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
Job Description:
Your day to day:
- Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.
- Design and deploy scalable generative AI solutions that recommend the next best products to PayPal customers in real-time while they are shopping.
- Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.
- Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.
- Work in close partnership with our engineering group and PayPal's Platforms organization and drive the adoption of ML/AI solutions throughout the organization.
This position is hybrid and requires in-office presence about 2 days a week in our San Jose, CA Headquarters.
What do you need to bring:
- Strong background in Machine Learning with practical experience in building and implementing large-scale predictive models and recommendation systems.
- Demonstrated experience in designing and deploying advanced AI models such as recommendation models.
- Excellent communication and collaboration skills with the ability to influence partners and customers with your insights and expertise.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields.
- We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
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, visithttps://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $107300 to $259600
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.
Company Info.
PayPalPayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.
-
IndustryFinTech
-
No. of Employees30,900
-
Location2211 North 1st Street, San Jose, CA 95131, USA
-
Website
-
Jobs Posted