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Director of Safety, ML
Reddit, Inc.Director of Machine Learning at Reddit overseeing safety ML systems and fostering healthy online communities. Driving strategy, development, and deployment of ML models for content safety.
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningAIapplied researchtransformer modelsLLM fine-tuningNLPdetection systemssupervised techniquesweak-supervision techniquesmodel lifecycle management
Soft Skills
cross-functional leadershipinfluence executivesfoster alignmententrepreneurial mindsetthought leadership