At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About The Team And The RoleAt eBay, we are at the forefront of combating fraud with advanced technology. As a leader in the e-commerce industry, we are dedicated to safeguarding our customers using innovative machine learning techniques. Our commitment to security and innovation drives us to continuously improve our fraud detection capabilities.
We are seeking an experienced Applied Research Manager to lead our dedicated team in the development and implementation of cutting-edge machine learning models specifically designed to identify and prevent fraudulent activities. Your expertise will play a pivotal role in enhancing our fraud detection systems, ensuring the protection of our customers and the integrity of our transactions.
What You Will Accomplish

• Directly manage a team of Applied Researchers while being responsible for driving all stages of model development: ML modeling, data / training pipelines, model evaluation and validation, productionalization, and performance monitoring
• Communicate complex machine learning insights and the impact of the models to stakeholders in all levels of the organization.
• Provide technical leadership and mentorship to team members, fostering a culture of excellence and continuous improvement.
• Participate in the defining project goals, working with partners to establish deliverables and timelines.

What You Will Bring

• MS / PhD in a quantitative field with 5 years of experience. Prior experience in payments industry a plus.
• 3 years in leading machine learning projects with a focus on fraud detection / risk management.
• Experience building and deploying large scale ML solutions.
• Sound knowledge of common ML algorithms and knowledge of their trade-offs involved in their selection.
• Strong skills in data and analytics.
• Effective communication skills to layout ML vision and roadmap to both a technical and general audiences.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$149,200 - $234,850
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.
This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.