Sr. Applied Scientist, DemandTech - AdDelivery, Experience and Measurement
Core
Building the next-gen smart ads campaign by owning the science for the Model Layer, turning static logic into self-improving closed-loop intelligence, and defining autonomous decision policies for ad delivery.
Role type
Senior Applied Scientist (Ad Delivery & Measurement)
Builds
Self-service performance advertising products and autonomous ad campaign optimization systems
Domain
Digital Advertising, Machine Learning, Autonomous Systems
Deliverable
production ML models
Required skills
predictive modeling, contextual bandits, causal attribution, model fine-tuning, reward schema design, cross-model signal integration
Preferred skills
distributed systems, large-scale ML profiling, deep learning frameworks
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, MxNet, numpy, scipy
Responsibilities
Build predictive issue-detection models for campaign performance; Design intervention-selection policies as contextual bandits; Establish causal attribution for autonomous optimizations; Integrate and adapt cross-model signals for advertiser intelligence; Close recommendation and grading feedback loops
Seniority
Senior, hands-on IC
