eBay AI/ML Software Engineering Job Alerts – Apply Soon!

Qualifications

What You Will Bring:

• Prefer Technical degree with 3-5+ 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 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.
• Hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) for building and optimizing large-scale data solutions.

About the team and role:

• 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.

What You Will Accomplish:

• 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.