Back
Tier-1 brand and Bangalore location increase competition; seniority and niche ML leadership moderate applicant density.
High—role requires deep ML/AI and ads/recommendation domain expertise, limiting industry transferability.
Many mandatory filters: 8+ years, MS/PhD, ML/AI expertise, leadership, production ML engineering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage a team of applied researchers and engineers working on production AI systems in natural language processing, large language models, recommender systems, and ML production engineering.
Set technical direction and build scalable models, pipelines, and platforms that improve customer and business outcomes at eBay scale across Recommendations Ads, Search Ads, and Ads Guidance.
Partner cross-functionally across product, design, analytics, engineering, and business teams to deliver measurable impact on buyer experience, seller success, marketplace growth, and advertising performance.
MS/PhD in Computer Science or related field.
8+ years of relevant work experience in Engineering, Machine Learning, or AI.
Experience leading teams in machine learning or AI environments.
Technical expertise in ML/AI including NLP, LLMs, ranking, recommender systems, ads, or related industrial AI domains.
Senior-level leader with proven experience managing and developing applied AI research and engineering teams.
Deep technical skillset in cloud-based big data and distributed production ML systems integration.
Strong cross-functional collaboration skills working with product, design, analytics, engineering, and business stakeholders to execute AI-driven solutions.