Director of Machine Learning, Safety & Mods

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• 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.

🎯 Requirements

• 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 (applied science, engineering, analytics) in a high-growth or high-impact environment. • 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.

🏖️ Benefits

• medical, dental, and vision insurance • 401(k) program with employer match • generous time off for vacation • parental leave