…s machine learning authority, communicating complex model trade-offs to leadership and cross-functional teams to translate technical research into practical, scalable engineering guidance…

…such as natural language processing, information retrieval, multimodal learning, anomaly detection, causal or root-cause inference, or generative AI - - Experience training or deploying LLM…

…to revenue. - Develop statistical, econometric, and machine learning methods to identify leading indicators, estimate lagged and causal relationships, quantify substitution or complementary effects, and…

…model methodologies, assumptions, and outputs — including econometric models, machine learning forecasts, conjoint analyses, and causal inference techniques - Dive deep into science model outputs to…

The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the…

The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the…

…Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration…

…Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication…

…Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. Advance Experimentation and Causal Inference at Scale…

…We are looking for a highly motivated Machine Learning Engineer to join Uber’s Marketplace team to modernize the Uber Freight marketplace team. It…

…gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts - Partner to build causal inference models and experimental frameworks…

…Applied industry experience using causal inference, experimentation, and/or machine learning models. You routinely use analytical tools in messy real world settings where details…