Director of Machine Learning & Artificial Intelligence

Written by the T&S Network from Thorn's posting.

Leads the machine learning and AI function at a nonprofit working to defend children from sexual exploitation and abuse, including child sexual abuse material. Sets ML strategy across Thorn's products and technical roadmap, and builds and manages the ML team within the Build organization that reports to the CTO.

• Child sexual abuse material
• Child safety and grooming

What you'd do

• Set Thorn's ML and AI strategy with Build leadership and Product, and recommend where to invest, partner, build, or evolve.
• Oversee privacy, security, and responsible AI practices for ML systems, including sensitive datasets and external annotation partners.
• Review oversight of CSAM reporting processes as they relate to ML systems.
• Bring on, mentor, and grow technical leads and engineers, giving each clear ownership and expectations.
• Work with Engineering and Product to move ML capabilities from research and prototypes into production systems.
• Set team priorities, operating rhythms, and resource and headcount plans with Finance and Build leadership.
• Represent Thorn's ML work with customers, partners, funders, and conferences.

What it asks for

• Significant experience leading ML, AI, or data science teams running production capabilities at meaningful scale.
• Working knowledge of how AI and ML get applied, how content detection works, and how software gets built.
• Background running ML systems that are dependable, testable, watched in production, and handled with care for privacy, security, and responsible AI.
• Track record of building and retaining high-performing technical teams.
• Experience coaching technical leaders and giving candid feedback.
• Trauma-informed approach to leadership.

Terms in this role

CSAM.

Child sexual abuse material: images or video of the sexual abuse of children. Illegal to make, share or possess in nearly every country.

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