Director of Safety ML

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns.
• 2
  Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.
• 3
  Develop and deploy cutting-edge Safety ML systems that outperform state-of-the-art solutions in quality, latency, and efficiency.
• 4
  Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities.
• 5
  Champion ethical and responsible AI practices in all Safety ML solutions.

RequirementsAI-extracted

• 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 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.

Perks & BenefitsAI-extracted