Director of Safety, ML

🕒 Maio 15

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Reddit, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2005

👥 B2C

📱 Mídia

🌍 Impacto Social

B2C • Media • Social Impact

Reddit, Inc. é uma plataforma de mídia social que funciona como um hub para milhares de comunidades, onde os usuários podem participar de conversas diversas, que vão de notícias de última hora a interesses de nicho. Ela permite que usuários publiquem, comentem e votem em conteúdos, fomentando uma comunidade online vibrante. Milhões de pessoas no mundo todo se conectam e compartilham suas paixões no Reddit, criando um ambiente dinâmico para interações humanas autênticas.

Descrição

• Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns. • Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement. • Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency. • Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience. • Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment. • Champion ethical and responsible AI practices in all Safety ML solutions. • Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards. • Represent Safety ML leadership internally and externally — including conferences, publications, industry groups, and cross-company collaboration initiatives.

🎯 Requisitos

• 10+ years of experience in Machine Learning, AI, or applied research, with a strong background in Trust & Safety, abuse prevention, detection, or content integrity. • 5+ years of experience leading multi-disciplinary ML teams of 25+ team members (applied science, engineering, analytics) in a high-growth or high-impact environment. Must have experience managing people leaders (managers with direct reports) • Proven track record of shipping ML systems at scale in production, ideally including transformer-based models and LLM fine-tuning. • Depth in NLP, content understanding, detection systems, supervised and weak-supervision techniques. • Strong cross-functional leadership skills, with ability to influence executives and foster alignment across Safety, Product, and Engineering. • Thought leadership in responsible AI, safety ML research, or safety measurement frameworks. • Entrepreneurial mindset — experience founding or scaling a product or ML org.

🏖️ Benefícios

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave