of the company. Our work combines state of the art quantitative methods across forecasting, data science, and causal... issues. Build and compare models to support prediction and forecasting. Transform observational data into causal models...
approach is required. Experience or interest in methodological applications relevant to the areas of applied statistics, causal... in methodological applications relevant to the areas of applied statistics, causal inference, non-parametric and/or categorical data...
Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior...
-based optimization. - Experience in cross-domain transfer learning, LTV modeling, long-term value optimization, causal...
, long-term value optimization, causal inference, or debiasing. - Experience with long-sequence user behavior modeling...
. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents... original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative...
. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents... Do: Conduct original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal...
, change lineage, and an archive of rejected candidates you can sample from next round. - Online experimentation & causal...
, change lineage, and an archive of rejected candidates you can sample from next round. - Online experimentation & causal...
, change lineage, and an archive of rejected candidates you can sample from next round. - Online experimentation & causal...