Job Description

About e Bay

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.

About the Team and Role

The Compliance Engineering team at e Bay is focused on prohibited, restricted, and counterfeit compliance detection is dedicated to ensuring that e Bay's marketplace adheres to all relevant regulations and internal policies. The team develops and maintain advanced, AI-driven tools and scalable backend systems that automatically identify and assess items listed on the platform. By applying sophisticated data models, machine learning algorithms, and rules-based engines, they detect products that may be illegal, harmful, non-compliant with trade regulations, or counterfeit. Overall, this Compliance Engineering team plays a crucial role in maintaining trust in e Bay's platform, safeguarding customers, and upholding the company's dedication to a fair, safe, and legally compliant marketplace.

What You Will Accomplish

• Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support e Bay's business operations and customer experiences
• Design and deploy high-performance APIs and data pipelines that seamlessly integrate machine learning models to extract valuable insights
• Design and implement highly configurable, metadata-driven platforms to enable seamless ingestion of attributes, rules, models, policies, and derived aggregates
• Develop machine learning models and Gen AI tools to generate insights and improve customer experiences across e Bay
• Partner with architects, business leaders, and industry experts to devise strategies and scalable solutions
• Be responsible for the entire software lifecycle, including design, development, testing, and experimentation
• Foster a collaborative team environment by mentoring junior members, guiding them through projects to achieve transformed outcomes

What You Will Bring

• Prefer Technical degree with 8+ years of relevant software development experience
• Strong hands on Machine Leaning experience, AI/ML/Gen AI, LLM's and proven experience in building and running AI/ML/GenAI models in production environments
• Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like Py Torch and Tensor Flow
• Demonstrated experience in applying AI/ML techniques to build and run models in production environments
• Proven experience with APIs and Distributed Systems, building and consuming horizontally scalable RESTful APIs, GraphQL, and distributed systems
• Hands-on experience with technologies like Spark, Flink, and Kafka with practical experience in their use
• Strong understanding of SQL, NoSQL, and sophisticated data modeling techniques
• Hands-on experience with the Hadoop ecosystem (HDFS, Map Reduce, Hive, Spark) for building and optimizing large-scale data solutions
• Strong data modeling skills, encompassing both SQL and NoSQL environments

Equal Opportunity

e Bay 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 e Bay's commitment to ensuring digital accessibility for people with disabilities.