…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…

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

…As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement…