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Tier-1 brand, popular backend title, and metro/hybrid role increase competition.
Requires backend plus recommender systems and ML pipelines; industry-specific experience important.
Explicit degree-plus-years requirements and mandatory backend/Big Data stack make filters stringent.
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Own development and deployment of large-scale, state-of-the-art AI and recommendation systems impacting millions of eBay buyers.
Work with extensive unstructured multimodal data and build big data pipelines for real-time scalable recommendations in e-commerce.
Drive measurable business outcomes including marketplace Gross Merchandise Billings (GMB) and advertising revenue through organic and sponsored recommendations.
MS in Computer Science or related field with 6+ years relevant experience; or BS/BA with 8+ years experience in Engineering / Machine Learning / AI.
Proficiency building large scale distributed applications in an object-oriented language (e.g., Scala, Java).
Experience with NoSQL databases and key-value stores (e.g., MongoDB, Redis).
Work Experience Required: Minimum 6 years (MS) or 8 years (BS/BA) in relevant fields.
Experienced in industrial-scale AI and recommendation systems, especially with production deployment of ML/NLP/LLM models.
Comfortable handling and engineering large, complex, unstructured multimodal datasets and big data technologies (e.g., Hadoop, Spark).
Able to integrate advanced AI and cloud technologies (such as Google Cloud Vertex AI) into recommendation solutions to drive business impact.