At Motional, data plays a critical role in fueling our ML-centered autonomous driving vehicle. Our robo-taxi fleet collects petabytes of data on the road every day – the Data Mining team is mining & filtering the massive influx of fleet data by developing billion-scale data workflows and state-of-the-art mining algorithms. Through our Continuous Learning Framework we continuously improve the on-road performance of ML products for perception, prediction & planning with every mile driven. We mine for model errors, anomalies, rare objects & long-tail driving scenarios across millions of driving hours – these are used for laser-focused ML model training and continuous edge case validation. We are looking for an engineer to spearhead new mining strategies & workflows and help deliver high-quality data that improve our core ML products.