Manager, Machine Learning Science

PayPal; San Jose (CA); Hybrid; USD 96,000 - 235,000; Full time

Job summary

An established industry player is seeking a talented leader to manage a portfolio of AI-driven solutions within a dynamic team. This role involves leading a group of Machine Learning Scientists to develop cutting-edge recommendation systems that enhance user experience on a major consumer platform. You will define the vision for AI applications, influence product stakeholders, and work collaboratively with engineering teams to implement innovative solutions. If you're passionate about AI and eager to shape the future of technology, this opportunity is perfect for you.

Benefits

Flexible work environment

Employee stock options

Health insurance

Life insurance

Dental insurance

Qualifications

• Experience in building large-scale predictive models and recommendation systems.
• Expertise in customer-facing AI/ML applications.

Responsibilities

• Lead the team in developing recommender systems using AI/ML techniques.
• Communicate complex concepts to technical and non-technical audiences.

Skills

Machine Learning

AI/ML Recommendation Systems

Graph Neural Networks

Deep Learning Models

Communication Skills

Collaboration Skills

Education

Advanced degree in Computer Science

Electrical Engineering

Statistics

Mathematics

Tools

ChatGPT

Gemini

Llamma

Job description

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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. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

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. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary

PayPal is seeking a talented leader to lead a portfolio of Commerce AI/ML team, driving the development of AI-driven solutions that will shape the future of PayPal. 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 products on PayPal App. You will be building and defining the next generation shopping discovery destination leveraging the power of PayPal’s two-sided network.

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 role 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 $96,900 to $234,300.

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. We offer benefits to help you thrive in every stage of life, including a flexible work environment, employee stock options, health and life insurance, and more. To learn more, visit https://www.paypalbenefits.com.

Who We Are

To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, race, gender, sexual orientation, disability, or other protected characteristics. We also provide reasonable accommodations for qualified individuals with disabilities. If you need assistance, contact us at [e-mail].

Belonging at PayPal

We strive to create an environment of acceptance and security where everyone can do their best work with a sense of purpose and belonging. We are proud of our diverse workforce and continue to take tangible actions to foster inclusivity and belonging.

Any general requests for consideration of your skills can be directed to our Talent Community. We encourage you to apply regardless of confidence gaps or imposter syndrome.