Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities. Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value.
Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance.
Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit’s product, ecosystem, and business objectives.
Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Ecosystems, aligning recommender-system investments with Reddit’s goals around user growth, contribution, community health, and high-quality discovery.
Define and lead the UX Engineering strategy across multiple areas of Reddit Ads.
We are looking for a Senior Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale.
Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment.
Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit. Research, evaluate, and implement emerging methods.
Today, most people who build on Reddit are developers: they write code, use Devvit, work with APIs, and ship apps or games through a relatively technical workflow. That ecosystem is growing quickly and remains critical. But the future is bigger than developers alone.
RedditNew · 3h ago
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
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USA
Los Angeles, CA