Senior Machine Learning Engineer (global)

We are seeking a motivated Senior Machine Learning Engineer to design, build, deploy, and own production ML systems that power core parts of the ad network, content intelligence, and growth ecosystem. You’ll work across the entire ML lifecycle—problem framing, feature engineering, large-scale data processing, model training, evaluation, deployment, monitoring—and partner closely with Data Engineering, Product, and Platform teams. This role is ideal for someone who wants to work on real-time optimization, high-dimensional modeling, vector embeddings, and ML-driven automation, all while shipping to production continuously. The successful candidate will likely not have expertise across all of these areas, but rather deeper mastery in one of them (Data Science, Research & Development, MLOps, ML Engineering, etc.) with passable knowledge of the others. We value your unique perspective, and the day-to-day is highly dependent on the skills you bring. Please note that compensation will be dependent on experience. We welcome global candidates to apply!