Director of Machine Learning, Safety

Director of Machine Learning – Trust & Safety Location:

Remote | United States Visionary ML leader with over 8 years of experience in machine learning and data science, including 5+ years directing high-impact teams. Proven success in developing and deploying scalable ML solutions that enhance user safety, prevent fraud, and support content moderation across consumer tech platforms. Adept at driving cross-functional safety initiatives in collaboration with Policy, Legal, and Trust & Safety teams to safeguard millions of users. Core Competencies:

Leadership of multidisciplinary ML teams in

Trust & Safety, Fraud Prevention, and Content Moderation Technical strategy for scalable ML infrastructure and SOTA model development End-to-end ownership of machine learning pipelines, from creative data sourcing to production deployment Collaboration with

Policy, Legal, and Risk

to ensure ethical, impactful ML applications Innovation in real-time harm detection, proactive safety systems, and reactive workflows Proven ability to translate

ML insights into measurable user protection outcomes Key Achievements:

Scaled and led a top-performing ML Safety team, significantly reducing harmful content through predictive modeling and automated moderation Launched ML-driven fraud prevention systems that improved detection rates while reducing false positives Championed technical decisions for an evolving ML stack, ensuring platform scalability and long-term sustainability Mentored senior ML scientists and engineers, fostering a high-performance, impact-driven culture Director of Engineering, Data Platform - San Francisco, CA

Senior Oracle Technical Business Analyst

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