learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization... systems. Strong background in deep learning, generative AI, causal modeling, and reinforcement learning. For New York City...
design, causal inference, and machine learning model development within production environments. Proficiency with Python...
working at the intersection of causal inference, machine learning, modern AI, and marketing technology. Partnering directly... expertise in causal inference and experimentation at scale (e.g., geo-experiments, conversion lift, synthetic controls...
and research developments related to AI, computational social science, and causal inference. Abide by and follow the Harvard...
rewards Solid grounding in both causal inference and counterfactual evaluation Good understanding of ML libraries...
. Experience with any modern FP&A tools (e.g., Adaptive, Aleph, Fintastic, Causal, Cube) is a plus. Best Practices Champion...
understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide...
: Establish strong approaches to model evaluation, experimental design, and causal measurement, balancing short-term results...
with modern analytics tools such as dbt, BigQuery, Snowflake, and AI coding tools. Experience with experimentation, causal...
Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove..., causal evidence. We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana...