Machine Learning Engineer

• Research, design, and implement advanced ML models for conversion rate prediction, value estimation, and pacing
• Build robust feature pipelines with BigQuery and Dataflow, ensuring low-latency inference at scale
• Deploy, monitor, and continuously improve models in production using Vertex AI
• Develop and maintain MLOps frameworks to automate training, evaluation, and deployment
• Partner with backend and distributed systems engineers to integrate models into high-throughput bidding services
• Contribute to experimentation frameworks and A/B testing of ML-driven bidding strategies
• Own end-to-end ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring
• Drive improvements in bidding efficiency and ROI across millions of daily ad auctions
• Report to Head of RTB (Thomas Boquet) and collaborate with cross-functional engineering teams

Senior Machine Learning Engineer, Real-Time Bidding

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Machine Learning Engineer 5 – Ads