…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…expertise in causal inference and applied econometrics. Experience with large-scale data, proficiency in statistical programming (Python), and familiarity with machine learning methods are…

…or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI. Proven experience as a Principal Engineer, Architect, or…

…About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals…

…actively seeking a Staff Data Scientist, GTM to provide technical leadership for Snowflake’s next generation of AI & Machine Learning powered GTM decision systems…

…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…

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

…Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering…

…causal inference, policy optimization, constrained optimization, or reinforcement learning. Training & inference efficiency: model sparsification, quantization, distillation, or parallelism and partitioning design. - Communication: Exceptional storytelling…

…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…

…GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience…

…As a Staff Machine Learning Engineer embedded into League of Legends, you will build applied machine learning systems that directly improve player experience. You…

…testing), causal inference, and real-time decision systems. Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow…