Teams at Rokt

Design, build, and productionize machine learning models and data pipelines for recommendation, bidding, and forecasting. Collaborate with product and engineering teams, evaluate and monitor model performance, maintain high-quality tested code, prototype research ideas, and run experiments. Hybrid schedule: four days in-office, one remote.

Design, build, deploy, and operate ultra-high-throughput, scalable backend services. Troubleshoot production incidents, optimize performance and cost, own architecture, mentor engineers, and leverage AI/LLM tooling. Participate in on-call rotation and collaborate cross-functionally to meet business objectives.