Machine Learning Scientist (L6) - Live Ads

Define and drive the ML technical roadmap in close partnership with the Live Ads product team, aligning technical investments with business priorities and product direction. Collaborate across horizontal pods to architect and deliver ML solutions spanning forecasting, targeting and personalization, bidding and pacing, auction, and yield optimization. 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, including senior leadership. Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field. 7+ years of industry experience building and shipping production ML systems at scale, with demonstrated staff/senior staff-level scope and impact. Deep knowledge of machine learning, optimization, and data analysis techniques. Experience in ad optimization stack, e.g. targeting, ranking, bidding. Experience in Live ads is a huge plus. Proven ability to set technical direction and influence roadmap across teams; experience serving as a vertical or staff-level technical lead is a strong plus. Experience with prototyping and deploying algorithms using large-scale production data. Proficiency in Python, Scala, or Java. Strong business acumen and ability to translate technical results into business impact. Excellent communication and collaboration skills.