Manager, Machine Learning Science

Key Skills

Aartificial intelligence, ChatGPT, Ecommerce, Machine learning techniques, Predictive Modeling

Job Description

Be part of a high-performing team with start-up culture to build 0-1 initiatives in a very dynamic environment. Be part of building future of PayPal and work on top pillars of corporate strategy!

Your day to day:

• Lead the team in charge of Development of Recommender Systems leveraging cutting edge AI/ML techniques, such as graph neural networks and deep learning models.

• Define an end-to-end vision for domain, including Signal Collection, Consumer Embedding, Product and Merchant Embeddings and retrieval/ranking pipelines.

• Leverage GenAI tools such as ChatGPT, Gemini and Llamma to accelerate development of recommendation models.

• Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences. Influencing partners including product stakeholders.

• Work in close partnership with our engineering group and PayPal's Platforms organization and drive the adoption of ML/AI solutions throughout the organization.

• Grow and scale a team of top-performing talent

This position is hybrid and requires in-office presence about 3 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.

• Expertise in Customer Facing AI/ML Recommendation applications on a large-scale consumer-facing app.

• Preferred to have industry expertise in e-commerce recommendations, Ads relevance or other related applications.

• Excellent communication and collaboration skills with the ability to influence partners and customers with your insights and expertise.

• Ability to groom senior ICs

• Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields. At least 2 years of experience managing teams and 6 years of experience in AI/ML for Consumer or relevant Applications.

• 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, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$96900 to $234300

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 https://www.paypalbenefits.com.

Who We Are: