About the position
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. The Compliance Engineering team at eBay is focused on prohibited, restricted, and counterfeit compliance detection is dedicated to ensuring that eBay'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 eBay's platform, safeguarding customers, and upholding the company's dedication to a fair, safe, and legally compliant marketplace.
Responsibilities
- Build large-scale applications, low-latency APIs, data pipelines, and foundational architectures to support eBay's business operations and customer experiences.
- 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 eBay.
- 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.
- Mentor and lead junior team members by setting examples and guiding them toward success.
Requirements
- Bachelor's degree in Computer Science or a related field with 5+ years of experience, OR Master's degree in Computer Science with 4+ years of relevant software development experience.
- Outstanding programming skills in Java, Scala, and Python, with hands-on experience in frameworks like PyTorch and TensorFlow.
- 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.
- AI/ML/Gen AI, proven experience in building and running AI/ML/GenAI models in production environments.
Benefits
- 401(k) eligibility
- various paid time off benefits, such as PTO and parental leave
