{"id":1416656,"url":"https://alion.io/job/thorn-director-of-artificial-intelligence-machine-learning","title":"Director of Machine Learning & Artificial Intelligence","company":{"id":456208,"name":"Thorn","domain":"thorn.org","url":"https://alion.io/company/thorn-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":188000,"max":302450,"currency":"USD","period":"year","gross":null,"usd_annual":302450},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-28T20:43:50Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-20T19:18:39Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core-a shared code that drives us to do challenging work with resilience and determination.\nHere, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You'll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion.\nIn 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy.\nAbout the Role\nAs Thorn’s Director of Machine Learning & AI, you will lead and build the team responsible for applying machine learning and AI to some of the most difficult technical challenges in our mission. You will shape and lead the strategy for the function, develop its people and technical leaders, and ensure ML expertise is deeply integrated into Thorn’s products, technical innovation, and broader Build strategy.\nYou will lead an established core of passionate ML engineers with deep technical and mission expertise, while also having the opportunity to grow the team and shape the capabilities Thorn will need next. This role requires an exceptional people leader who can earn trust, build on the strengths already present, recruit outstanding new talent, and help the team evolve as Thorn’s needs and technical opportunities change.\nAs a member of Build leadership, you will report to the CTO and partner closely with Engineering, Product, and other teams across the organization to align ML priorities and technical direction with Thorn’s broader strategy.\nWhat You’ll Do\nTechnical Strategy and Innovation\nShape and lead Thorn’s Machine Learning and AI strategy in partnership with Build leadership, Product, and cross-functional stakeholders, evolving technical direction as emerging technologies, research, customer needs, and the child safety landscape change.\nIdentify promising ML and AI technologies and approaches, translating research and experimentation into recommendations about where Thorn should invest, partner, build, or evolve its product and technology strategies.\nSupport Thorn’s Technical Innovation Roadmap through the exploration, prototyping, de-risking, and validation of new technical capabilities to advance mission impact and inform future product strategy.\nEnsure ML systems and practices meet Thorn’s expectations for privacy, security, responsible AI, regulatory compliance, reliability, and operational excellence, including appropriate oversight of sensitive datasets, external data annotation partners, and CSAM reporting processes.\nPartner closely with the Business Development and Strategic Impact (BDSI) team to inform Thorn’s technical research roadmap and enable exploration by connecting research questions, ML expertise, emerging opportunities, and product needs.\nDevelop an Exceptional ML Team\nBuild on the strengths of an established, highly skilled Machine Learning team while developing the people, leadership, and capabilities Thorn will need next.\nRecruit, develop, empower, and retain exceptional ML talent, maintaining a high bar for technical excellence, collaboration, curiosity, and mission alignment.\nLead, coach, and develop technical leaders and individual contributors of various levels, creating clear ownership and meaningful opportunities for people to grow their skills and their impact.\nEarn trust through curiosity, consistency, transparency, active listening, and strong follow-through.\nThoughtfully evolve team culture and ways of working as Thorn’s needs change, preserving the strengths already present while strengthening collaboration, adaptability, and shared ownership.\nFoster psychological safety alongside high expectations, healthy disagreement, technical excellence, continuous learning, and accountability.\nSet clear expectations and provide timely, candid feedback. Recognize strong performance and address performance concerns thoughtfully and directly.\nBuild leadership capacity throughout the team, delegating ownership and decision-making to the appropriate leaders and experts.\nPartner with People & Culture on hiring, onboarding, development, performance management, and succession planning, in ways that strengthen team cohesion, uphold our values, and support a culture of excellence and care.\nOne Build Collaboration\nBuild deep partnerships across Machine Learning, Engineering, Product, BDSI, and other teams, strengthening collaboration across the SDLC so research, experimentation, product development, and production delivery remain connected throughout the lifecycle.\nPartner closely with Engineering leadership and teams to ensure ML capabilities are designed, built, deployed, and operated as reliable, scalable, production-ready systems, with shared technical context and clear ownership.\nPartner with Build leadership and Technical Program Management to align ML priorities, dependencies, investments, and capacity with Build’s broader strategy and roadmap.\nHelp shape cross-Build technical decisions by bringing ML expertise and perspective, while strengthening collaboration across disciplines and empowering the appropriate teams and technical leaders to own decisions within their areas.\nPartner with Product, Engineering, BDSI, and customer-facing teams to ensure customer and ecosystem learning informs ML priorities and continuous improvement.\nPartner across Build to strengthen shared approaches to responsible data use, privacy, security, and ML governance.\nExecution and Organizational Leadership\nEstablish clear priorities, expectations, and operating rhythms that help the ML team deliver predictably while maintaining space for innovation and learning.\nEnsure sustainable ML development and operational practices that appropriately balance speed, quality, reliability, cost, security, and long-term maintainability.\nEmpower technical leaders and senior individual contributors to own day-to-day execution while maintaining visibility into progress, risks, dependencies, and organizational needs.\nPartner with Finance and Build leadership on responsible resource allocation, headcount planning, infrastructure investment, and budget stewardship.\nIdentify organizational or technical constraints early, make clear tradeoffs, and help teams align and move forward when priorities or perspectives compete.\nServe as a member of Build’s leadership team, contributing to Build strategy, organizational planning, emerging threat response, investment decisions, and complex problem-solving.\nRepresent Thorn’s ML work externally with customers, strategic partners, funders, conferences, advisory groups, and the broader technical community as appropriate.\nWhat We’re Looking For\nTechnical Strategy and Execution\nSignificant experience leading ML, AI, Data Science, or related technical teams responsible for production capabilities at meaningful scale.\nStrong technical judgment across modern ML and AI, with the ability to guide direction, evaluate tradeoffs, and translate emerging technologies and research into practical capabilities and strategic direction.\nDeep understanding of AI/ML applications, content detection technologies, and software development.\nExperience developing and operating ML capabilities with appropriate attention to reliability, evaluation, monitoring, privacy, security, and responsible AI.\nTeam Culture and Cross-functional Collaboration\nProven ability to lead, develop, and strengthen high-performing technical teams, including attracting, hiring, and retaining exceptional talent.\nExperience coaching technical leaders and individual contributors, delegating ownership appropriately, setting clear expectations, and providing candid, constructive feedback.\nAbility to earn trust with an established team and thoughtfully evolve culture while fostering psychological safety, accountability, inclusion, and high expectations.\nTrack record of strong collaboration with Engineering, Product, Research/BDSI, and other cross-functional partners, including moving capabilities from research and experimentation into reliable production systems.\nSkilled at navigating complex stakeholder environments, creating alignment across teams, and providing direction and coaching where needed.\nLeadership\nAbility to influence, drive change, and solve complex problems calmly and strategically.\nStrong communication skills, including asking critical questions, communicating key points clearly, and representing technical work externally through partner conversations, conferences, fundraising events, or advisory forums.\nLead with empathy, humility, honesty, clarity, and a trauma-informed approach.\nBuild relationships based on trust, transparency, accountability, and follow-through.\nYou have a commitment to putting the children we serve at the center of everything you do.\nCompensation and Benefits\nA reasonable estimate of the compensation range for this role is $188,000 - $302,450/year. This range takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to location; skill sets; experience and training; licensure, and certifications.\nOur remote-first work model is structured around working from home most of the time. But, there will be times that employees are expected to travel. For example, Thorn may host company-wide gatherings, and smaller teams may hold in-person meetings and team-building events, or require attendance at specific conferences.\nAt Thorn, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Thorn can mean for you.\nThorn is strengthened by the wide range of experiences and perspectives on our team. We value the diversity of our professional backgrounds, subject matter expertise, cultures, and perspectives because they help us solve complex problems and serve our mission more effectively. We hire based on merit, qualifications, and organizational need, and we are committed to fostering an inclusive environment where all employees can thrive.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\nThorn is committed to the full inclusion of all qualified individuals. We provide reasonable accommodations to ensure candidates and employees with disabilities can fully participate in the application process, perform essential job functions, and access all the benefits and privileges of employment. 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