Staff ML Engineer - Advertising
Core
Designing and scaling end-to-end machine learning systems for ad ranking, recommendations, and advertiser optimization to drive marketplace monetization.
Role type
Staff Machine Learning Engineer (Advertising)
Builds
Large-scale ML systems for ad serving and advertiser-side optimization
Domain
Ecommerce advertising, recommendation systems, GenAI
Deliverable
production ML models
Required skills
System-level ML design, large-scale system deployment, Python/Scala, PyTorch, Hugging Face, Ray, vLLM, Spark, Hadoop, SQL, experimentation frameworks
Preferred skills
GenAI/LLM-based systems, deep learning, distributed system design, architectural tradeoffs
Technologies
PyTorch, Hugging Face, Ray, vLLM, Spark, Hadoop
Responsibilities
Architect and evolve large-scale ML systems for ad ranking and recommendations; Define and own key system metrics (relevance, revenue, latency); Mentor engineers and lead design reviews; Translate business objectives into scalable ML solutions; Drive adoption of state-of-the-art ML approaches in production.
Seniority
Staff, technical leadership & hands-on IC
