, causal inference or experimentation (A/B tests, holdouts), enough to understand what the models need. Experience in ads...
Innovate with leading-edge analytical techniques — including machine learning, Bayesian inference, causal modelling... experimentation and impact measurement, advocating for advanced causal modelling and econometrics, and developing advanced impact...
apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning...
Corporate IT Engineer About Us Alembic is the pioneering Causal AI platform. We help the world's largest... to make multimillion-dollar decisions on trusted, causal evidence. We're backed by a $145M Series B from WndrCo (founded...
with experimentation methodologies, causal inference, synthetic controls, matched market testing, and regression analysis Deep...
and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities. Evolve our data... testing, Bayesian inference, causal effects modeling, or heterogeneous treatment effects. Experience building large-scale...
cluster with NVL72 GPU infrastructure, combining Spiking Neural Networks, Graph Neural Networks, and causal inference... on "Applied AI." Our work is causal, not generative AI. The "AI" in Applied AI refers to the causal, graph-based, and neural...
and infer gene regulatory networks and causal relationships to predict therapeutic interventions. This position offers the... systems You excel at developing interpretable machine learning approaches, such as variational inference and causal modeling...
for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard... Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency...
technology center to apply causal modeling and assemble a prioritized portfolio. The role also looks outward, drawing... to surface new pathway insight, apply causal modeling to test target hypotheses, and draw on patient genetics and sample...