Machine Learning Engineer

• Design and deploy low-latency ML pipelines for real-time bidding and ad delivery
• Build scalable systems for forecasting, yield optimization, and media planning
• Collaborate with data engineering teams to integrate third-party data and behavioral signals
• Drive experimentation through A/B testing and continuous model optimization
• Define architecture standards and tooling for MLOps, retraining workflows, and model monitoring
• Mentor senior and junior engineers across ML engineering best practices
• Evaluate third-party tools and platforms to inform build-vs-buy decisions
• Own performance metrics tied to business impact: eCPM, ROAS, fill rate, etc.

Staff Machine Learning Engineer

Director, MLOps

Machine Learning Engineer

Senior Software Developer – AI Platform

AVP, AI Engineering – Delivery

AI Engineer, AI Capability Center – Remote with Some Travel