Director of Machine Learning, Safety & Mods

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. Thought leadership in responsible AI, safety ML research, or safety measurement frameworks. Entrepreneurial mindset.

Set the vision and strategy for applying ML to Trust & Safety. Lead and grow a high-performing Safety ML organization. Develop and deploy cutting-edge Safety ML systems. Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams. Drive successful experimentation, evaluation, and model lifecycle management. Champion ethical and responsible AI practices. Track performance through metrics and research-based iteration. Represent Safety ML leadership internally and externally.