Director of Safety, ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the vision and strategy for leveraging Machine Learning in Trust & Safety, ensuring scalable and proactive measures against emerging abuse patterns.

• Lead and cultivate a high-performing Safety ML organization, encompassing applied research, model development, production deployment, and ongoing enhancement.

• Create and implement advanced Safety ML systems (including fine-tuned LLMs and transformer models) that surpass existing solutions in quality, speed, and efficiency.

• Collaborate with Trust & Safety, Product, Moderation, and AI/ML Platform teams to pinpoint safety risks, identify new harm vectors, and explore ML opportunities that enhance detection, enforcement, and user experience.

• Spearhead effective experimentation, evaluation, and model lifecycle management, ensuring high levels of precision, recall, explainability, and adherence to policy.

• Advocate for ethical and responsible AI practices in all Safety ML initiatives.

• Monitor performance through metrics, iterative research, and alignment with Reddit’s safety guidelines and regulatory requirements.

• Represent Safety ML leadership both internally and externally, including at conferences, through publications, in industry groups, and during collaborative initiatives across companies.

⛳️ Requirements

• Over 10 years of experience in Machine Learning, AI, or applied research, with a solid foundation in Trust & Safety, abuse prevention, detection, or content integrity.

• More than 5 years of experience leading diverse ML teams of 25+ members (applied science, engineering, analytics) within a high-growth or high-impact setting, including management of people leaders (managers with direct reports).

• Demonstrated success in deploying ML systems at scale in production, preferably involving transformer-based models and LLM fine-tuning.

• Expertise in NLP, content comprehension, detection systems, and both supervised and weak-supervision methodologies.

• Strong cross-functional leadership capabilities, with the ability to influence executives and foster alignment among Safety, Product, and Engineering teams.

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

• Entrepreneurial mindset—experience in founding or scaling a product or ML organization.

🏝️ Benefits

• 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