Director of Safety, ML

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Lebenslauf hochladen

Reddit, Inc.

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2005

👥 B2C

📱 Medien

🌍 Soziale Wirkung

B2C • Media • Social Impact

Reddit, Inc. ist eine Social-Media-Plattform und Knotenpunkt für Tausende von Communities. Nutzerinnen und Nutzer können dort an vielfältigen Gesprächen teilnehmen – von aktuellen Nachrichten bis hin zu Nischenthemen. Sie ermöglicht es, Inhalte zu posten, zu kommentieren und darüber abzustimmen und fördert so eine lebendige Online-Community. Millionen von Menschen weltweit vernetzen sich auf Reddit und teilen ihre Leidenschaften – und schaffen so ein dynamisches Umfeld für authentische zwischenmenschliche Interaktion.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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