[Senior/Staff] Machine Learning Engineer - Ad Ecosystems

This role will lead high-impact projects from the ground up. You’ll have the autonomy to design and build systems that could fundamentally reshape the advertising ecosystem. The work will involve developing complex intervention systems, advanced marketing planning tools, and optimization engines powered by machine learning and causal inference. We’re looking for individuals who thrive on solving tough problems, think critically, and love turning ideas into scalable, production-ready systems. If you enjoy both writing production code and building innovative solutions, this role is for you. Responsibilities: Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems. Implement probabilistic techniques into reusable statistical libraries, including bootstrapping, statistical tests, and ML models/regressions. Build and maintain the ML systems that power Haus’ product lines. Review code and designs of teammates, providing constructive feedback. Lead and collaborate with engineering and cross-functional partners across product, engineering, and science teams to drive system development from ideation to production.