Design and build scalable ML/AI infra (feature stores, serving, streaming, eval, observability)
Build and maintain data pipelines for structured and unstructured data
Ensure data quality, lineage, reliability, and compliant data handling
Empower teams to turn data into actionable insights with agentic analytics
Prototype and productionize ML models for anomaly detection and predictive modeling
Own end-to-end ML delivery from experimentation to deployment

🎯 Requirements

4+ years of ML and data engineering experience
Strong background in reinforcement learning ML frameworks
Hands-on with multi-agent systems, evaluation, and observability
Experience deploying ML systems to production at scale

🎁 Benefits

Equity ownership for all employees
Competitive salary
Health, vision, and dental insurance
401K retirement match
Hybrid policy: in-office 4 days/week, WFH Wednesdays

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