Director, Machine Learning

We care more about judgment and ownership than credentials.

You're likely a strong fit if you:

• Have 12+ years in engineering with 5+ years managing ML or data teams, including managing managers or senior ICs
• Are an engineer at heart , you can still read a training pipeline, review a feature spec, and tell when an eval is measuring the wrong thing
• Have shipped ML systems that make consequential automated decisions in production, and have owned them after launch , drift, retraining, incidents, and all
• Have deep experience with at least one of: entity resolution / identity graphs, fraud and abuse detection, risk scoring, or anomaly detection at scale