Staff/Senior Machine Learning Scientist (Ad Cloud)

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second, powered by proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation.

Responsibilities

Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes; Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization; Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions; Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning)

Requirements

Bachelor’s degree in Computer Science, Mathematics, EE, or related field; 4+ years of industry experience in ad tech, with a focus on performance optimization; Proven experience in applied machine learning, especially in CTR prediction, recommendation systems; Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.); Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering

Nice to have

Master’s or PhD preferred; Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference)