Machine Learning Engineer

Join eBay as a Machine Learning Engineer (T25) on the Product Knowledge team, a pivotal group at the forefront of eBay's tech-driven, customer-centric evolution. You will work with a vast Big Data system encompassing listings, transactions, products, and knowledge graphs. Our team comprises experts in Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics, fostering a collaborative environment rich with learning and growth opportunities.

We are seeking skilled engineers who excel at developing elegant solutions to complex challenges. Your responsibilities will include:

• Developing data pipelines processing billions of items, often utilizing ML models.
• Building low-latency services for Search and Information Retrieval on massive datasets.
• Designing robust APIs and integrating data layers with customer-facing applications.
• Conducting A/B tests to evaluate and measure the impact of new functionalities.

If you thrive on challenges and excel in managing complexity, we encourage you to apply. eBay offers a competitive salary, including stock grants and annual bonuses, a supportive work culture that balances business impact with employee well-being, and the opportunity to be part of a company committed to making a positive global impact.

Job Responsibilities:

• Design, deliver, and maintain key features in data pipelines, ML processing, and service infrastructure.
• Optimize software performance for throughput and latency requirements.
• Collaborate with managers, peers, and Product Managers to scope projects.
• Develop sound technical strategies aligned with project goals, timelines, and impact.
• Lead cross-team initiatives, ensuring alignment and coherent technical solutions.
• Actively participate in knowledge sharing within the organization.

Minimum Qualifications:

• Demonstrated passion and commitment to technical excellence.
• B.Sc. or M.Sc. in Computer Science or equivalent professional experience.
• 2+ years of software design and development experience in backend services and/or data pipelines.
• Strong foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and Statistics.
• Proficiency in production-grade coding in Java, and Python/Scala.
• Experience with data analysis and statistical computation.
• Experience operating Big Data processing pipelines (e.g., Hadoop, Spark).
• Excellent verbal and written communication and collaboration skills.