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 Role & Team:Global Payments and Risk is at the forefront of innovation, integrating ground breaking technologies into our products and services. We are dedicated to using the power of machine learning to solve real-world problems, improve user experiences, and drive business outcomes. Join us in shaping the future with your expertise and passion for technology.We are seeking a motivated Software Engineer with a strong background in software development and hands-on experience in machine learning. The ideal candidate should have a platform-centric approach and a proven track record in applying machine learning techniques to develop scalable software solutions. You will be instrumental in crafting innovative applications that safeguard our marketplace to mitigate risks, and curtail financial losses. Join our collaborative team that thrives on creativity and resourcefulness to tackle sophisticated challenges.
 What you will accomplish:Build innovative, large-scale applications and data pipelines that operate with lightning speed.Enhance our products by integrating and fine-tuning machine learning models for optimal performance.Dive into every phase of the software development lifecycle, from initial design through coding, testing, deployment, and ongoing maintenance.Craft clean, efficient, and meticulously documented code, while shaping the architecture of both our new and existing systems.Collaborate with seasoned experts to develop innovative strategies and solutions that push the boundaries of technology.Lead and inspire our junior team members by setting a stellar example and guiding them towards achieving their full potential.Engage closely with product managers and various partners to deeply understand business requirements and transform them into robust technical solutions.What you will bring:A Master’s degree in Computer Science or related field with 8+ years of experience, or a Bachelor’s degree in Computer Science with 10+ years of experience.Exceptional programming skills in languages such as Java and Python.Proficiency in analyzing, designing, and implementing sophisticated, multi-tier distributed software systems that handle over 100 million requests per day.Experience in building RESTful Services, working with relational and NoSQL databases, and managing both batch and event stream processing.Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.

#LI-Hybrid

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.