At e Bay, 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.

Job Description:

About the team and the role:

As an ML Engineer at e Bay's Risk team, you'll be part of an exciting journey that is instrumental in maintaining e Bay to be a safe and trusted marketplace. The role involves working on critical projects related to the Risk product, which enhances the model lifecycle management for applied researchers, data scientist and ML engineers like yourself. This team is known for fostering an innovative culture and a collaborative environment, encouraging continuous learning and growth. The Risk Engineering team is a key player in keeping the marketplace safe for all buyers and seller.

What you will accomplish:

• Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at e Bay marketplace.
• Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact e Bay's Risk mitigation and fraud prevention.
• Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments.
• Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations.
• Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive e Bay's success further.

What you will bring:

• Solid experience in developing ML/NLP solutions with at least 4 years in the industry.
• Proven skills in enhancing model lifecycle management, particularly within complex ML platforms.
• Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously.
• Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps.
• Experience working in large-scale AI transformations within prominent product companies in a plus.
• Strong communication skills and the ability to articulate complex technical concepts to diverse audiences.

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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 talentebay.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.

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