Director of Machine Learning, Safety & Mods
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
What this role actually needs.
Director of Machine Learning, Safety & Mods at Reddit in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 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.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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
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