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Tier-1 brand, popular ML role, and Bangalore metro location increase applicant density.
Highly specialized production ML and ads ranking expertise limits cross-industry transferability.
Explicit seniority, strict education/experience, and mandatory production ML stack demand narrow candidate fit.
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Lead technical direction and execution of machine learning initiatives across eBay Ads and marketplace discovery systems.
Design, build, and operate scalable backend and ML systems supporting sponsored search, recommendations, ranking, retrieval, and personalization.
Collaborate with cross-functional teams to translate research prototypes into production and drive measurable business impact through A/B testing and iteration.
MS in Computer Science or related field with 10+ years relevant experience, or BS/BA with 13+ years in ML/AI/Data Engineering.
Proficient in production software engineering with OO languages such as Scala or Java.
Experience with cloud services, big data pipelines (e.g., Hadoop, Spark, Flink), distributed processing, and production ML frameworks (Python, PyTorch, TensorFlow).
Work Experience Required: 10+ years (MS) or 13+ years (BS/BA) in related fields.
Experienced in leading ML engineering projects for large-scale, live 24/7 production environments including monitoring and incident response.
Strong background in scalable distributed system design with RESTful/gRPC APIs and ML model serving frameworks.
Able to drive technical mentorship and engineering best practices across distributed teams in applied machine learning domains.