Back
Strong Tier-1 brand, metro location, and broad ML skillset yield medium candidate competition.
Role demands deep ML production and recommendation system experience, so cross-industry transferability is limited.
Explicit senior experience requirements and mandatory ML production, cloud, and serving framework skills increase shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide senior technical leadership for machine learning initiatives across Ads and marketplace discovery at eBay.
Design, build, and operate scalable backend and ML systems for sponsored search, item recommendations, ranking, retrieval, personalization, and GenAI-powered capabilities.
Collaborate with researchers, engineers, product managers, and analytics leaders to translate algorithms into production-ready code and drive measurable business impact through A/B testing.
MS in Computer Science or related field with 8+ years experience, or BS/BA with 10+ years in ML/AI/Data Engineering.
Strong production engineering skills in an object-oriented language (e.g., Scala, Java).
Experience with cloud services, big data pipelines, distributed processing frameworks like Hadoop, Spark, Flink.
Hands-on experience developing production ML systems using Python and ML frameworks such as PyTorch and TensorFlow.
Experienced in building scalable, distributed machine learning systems that operate 24/7 in production environments with monitoring and incident response.
Ability to lead cross-functional teams and provide mentorship through code reviews, architecture design, and pair programming.
Familiarity with serving frameworks (TensorFlow Serving, TorchServe) and libraries for LLMs (LangChain, Hugging Face Transformers) preferred.