Machine Learning Engineer, Data/Systems

Design and implement data and model pipelines to enable foundation-scale datasets and scalable training for perception-focused ML systems. Build continuous data ingestion, selection, and incremental update workflows for large models, plus data mining and automated data collection flywheels to sustain model evolution. Develop evaluation frameworks to measure real-world performance, detect regressions, and utilize ground-truth-free metrics. Collaborate with cross-functional teams to integrate data-centric approaches into perception pipelines for autonomous driving, respecting hardware constraints. Requirements include 3+ years in ML/CV, Python, and PyTorch or JAX; a CS bachelor’s degree (MS/PhD and C++ are a plus).