• Lead machine learning teams to production grade solutions, ensure quality of delivery and robustness of the solution, and drive project delivery timelines • Build machine-learning systems that power some of the most advanced logistics intelligence products in the industry • Analyze large, noisy datasets from cameras, OCR, detections, and geospatial pipelines to uncover actionable patterns • Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling, anomaly detection, and more • Collaborate with engineering and data engineering teams to scale models from prototype to production • Work closely with product teams to deeply understand customer needs and translate them into modeling and analytics initiatives • Apply scientific thinking to continuously test, iterate, and refine approaches as new data becomes available