Thorn

Machine Learning Engineer

• Shape and lead Thorn’s Machine Learning and AI strategy with Build leadership, Product, and cross-functional stakeholders
• Identify promising ML and AI technologies and translate research and experimentation into investment, partnership, and product strategy recommendations
• Support Thorn’s Technical Innovation Roadmap through exploration, prototyping, de-risking, and validation of new capabilities
• Ensure ML systems and practices meet privacy, security, responsible AI, regulatory compliance, reliability, and operational excellence expectations
• Oversee sensitive datasets, external data annotation partners, and CSAM reporting processes
• Partner with Business Development and Strategic Impact to inform the technical research roadmap
• Develop, recruit, empower, and retain an exceptional ML team
• Lead, coach, and develop technical leaders and individual contributors
• Build deep partnerships across ML, Engineering, Product, BDSI, and other teams across the SDLC
• Ensure ML capabilities are designed, built, deployed, and operated as reliable, scalable, production-ready systems
• Align ML priorities, dependencies, investments, and capacity with Build’s strategy and roadmap
• Establish priorities, expectations, and operating rhythms for predictable delivery
• Partner on resource allocation, headcount planning, infrastructure investment, and budget stewardship
• Serve on Build’s leadership team and contribute to strategy, organizational planning, threat response, and investment decisions
• Represent Thorn’s ML work externally with customers, strategic partners, funders, conferences, advisory groups, and the technical community

Director of Artificial Intelligence – Machine Learning

Support Engineer

• Guide customers through the full customer journey for Safer and Thorn Detect
• Support standard and complex implementations and troubleshoot technical issues
• Resolve complex issues independently and determine when escalation to Product, Engineering, or Account Managers is required
• Design, build, maintain, and improve Support tooling
• Translate recurring support needs and operational challenges into scalable technical solutions
• Improve Support workflows through tooling and automation
• Apply AI and emerging technologies to Support tooling, workflows, and automations
• Advocate for customers by communicating needs, questions, and constraints to internal teams
• Lead support for complex, high-impact customer use cases
• Collaborate with Product, Engineering, Data Science, UX, Account Managers, and Sales
• Identify recurring issues and opportunities to improve processes, tooling, and products
• Use and improve ticketing systems, Slack, Zoom, and email for support coordination
• Own and improve onboarding materials, support guides, and best-practice documentation
• Mentor and support other Support Engineers

Director of Artificial Intelligence – Machine Learning

Senior Support Engineer – Tooling & Automation