Teams at Liftoff

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Own the strategy, business case, experimentation roadmap, and launch of Liftoff’s zero-to-one e-commerce advertising platform. Lead product development from beta toward general availability, partnering with engineering, machine learning, legal, finance, sales, and customers. Responsibilities include optimizing funnel performance, defining traffic quality standards, managing identity and attribution architecture, overseeing e-commerce integrations, guiding go-to-market strategy, and making data-driven scaling, pivot, or shutdown decisions.