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AI/ML Engineer - Relational Foundation Models & Predictive Intelligence (Chicago)
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The role
Join a fast-moving Applied ML team focused on turning structured data into enterprise-ready predictions.
Design, prototype, and deploy Relational Foundation Model (RFM) workflows across use cases such as recommendations, forecasting, fraud detection, and supply chain optimization.
Work with large-scale relational datasets, customer pipelines, and production ML systems while guiding data structures, evaluation, interpretability, and rollout plans.
Provide technical leadership and act as a trusted advisor to customers, translating ambiguous requirements into concrete ML solutions.
Collaborate with engineering and research to improve platform capabilities and share best practices through demos, workshops, and training.
Hybrid work model with 1+ in-person days in Chicago and onboarding in the SF Bay Area; opportunities to impact from day one.
Design, prototype, and deploy Relational Foundation Model (RFM) workflows across use cases such as recommendations, forecasting, fraud detection, and supply chain optimization.
Work with large-scale relational datasets, customer pipelines, and production ML systems while guiding data structures, evaluation, interpretability, and rollout plans.
Provide technical leadership and act as a trusted advisor to customers, translating ambiguous requirements into concrete ML solutions.
Collaborate with engineering and research to improve platform capabilities and share best practices through demos, workshops, and training.
Hybrid work model with 1+ in-person days in Chicago and onboarding in the SF Bay Area; opportunities to impact from day one.
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