Machine Learning Scientist 5 - Ad Ranking

Design and implement machine learning and optimization algorithms to improve ad quality and performance. Build, train, and evaluate models on large-scale production data. Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements. Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals. Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions. Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization, and data analysis techniques. Experience with prototyping and deploying algorithms using large-scale production data. Strong business acumen and ability to translate technical results into business impact. Experience in ad optimization stack, e.g. targeting, ranking, bidding.. Excellent communication and collaboration skills.