About the job
At Netflix, our mission is to entertain the world. We are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. The Ad Supply & Decisioning team within the Ads Data Science and Engineering (DSE) organization drives ads growth by expanding ad inventory, optimizing member-ad matching, and maximizing long-term yield. We are looking for a Machine Learning Scientist 6 to serve as a vertical technical lead across our core Live Ads ML problem areas - forecasting, targeting and personalization, bidding and pacing, auction, and yield optimization.
Responsibilities
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.
Qualifications
Minimum
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.
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.
Preferred
Experience in Live ads is a huge plus.