p>We are looking for someone who has: • 3-5 years of experience in software or data infrastructure engineering • Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure • Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.) • Experience working with large-scale datasets and understanding data-driven development cycles • Familiarity with machine learning workflows or model training/deployment, especially automation of those processes • Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML) • Interest in seeing the direct impact of your infrastructure work on how vehicles perform and improve.
The Data and Test Flywheel Engineer will be a key member of Applied Intuition's data flywheel initiative - building the systems that connect vehicle data collection, training, and automated model improvement.