Director of Machine Learning - Safety & Mods

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.

We’re looking for a Director of Machine Learning to lead Reddit’s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities. This leader will drive the strategy development and deployment of machine learning models that detect and prevent harmful content and behavior at scale.

In this role you will own the roadmap for Safety and moderation ML lead a team of applied scientists and engineers and partner cross-functionally across Product Engineering Safety operations Trust & Community and AI/ML Platform to innovate on real-time detection automation and user protection systems. You will leverage modern ML — including fine-tuned LLMs — to ensure Reddit remains a safe welcoming and positive environment for our global user base.

Responsibilities:

• 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.

Required Qualifications:

• 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.

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

Bonus points if you have:

• Experience building or operating real-time abuse detection and automated moderation systems in a complex user-generated content ecosystem.

• Prior work in consumer-facing tech social platforms or large-scale community-driven products.

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary this job is eligible to receive equity in the form of restricted stock units and depending on the position offered it may also be eligible to receive a commission. Additionally Reddit offers a wide range of benefits to U.S.-based employees including medical dental and vision insurance 401(k) program with employer match generous time off for vacation and parental leave. To learn more please visit https://www.redditinc.com/careers/ .

To provide greater transparency to candidates we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function level and country location benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills depth of work experience and relevant licenses/credentials and may vary from the amounts listed below.

The base pay range for this position is:

$265800—$365100 USD