Lead a team of ML engineers building large-scale retrieval systems for Reddit's personalized feeds. Requires 2+ years managing ML/recommender teams plus deep expertise in production recommender systems, embeddings, and transformers.
Lead a team of ML engineers building recommendation systems for Reddit's Feed Ecosystems. Focus on improving relevance for new users, distributing new content and communities, and balancing personalization with ecosystem health across 100k+ communities. Requires 2+ years managing ML teams and deep expertise in production recommender systems.
Lead and grow Reddit's Site Defense and Transport teams, driving critical infrastructure migrations (Fastly to Cloudflare, Thrift to gRPC), expanding bot/DDoS defenses with ML-at-ingress, and maintaining high availability for one of the internet's largest sites. Requires 3+ years people management and 5+ years internet-scale infrastructure experience.
Engineering Manager leading the Media Foundations & Delivery team at Reddit. Drive media infrastructure modernization, optimize global video playback and distribution via CDNs and edge computing, standardize streaming formats, and manage cross-functional Backend/Mobile/Web teams to scale video consumption.
Lead a team of ML and systems engineers focused on model optimization, training/inference efficiency, and tooling for Ads ML at Reddit. Drive measurable wins in training time, latency, cost, and launch readiness while partnering with ranking and platform teams.
Lead and mentor a machine learning team building engagement prediction models for Reddit Ads. Define technical vision, drive model development from ideation to production, and collaborate with PMs and data scientists.
Lead the Ads Advanced Signals Team, focusing on scaling and evolving APIs, integrations, and tooling for Reddit Ads' off-platform signals ecosystem. Drive the technical vision, execution, and career development for a team of engineers.
Lead engineering teams building AI-assisted developer productivity platforms including agent infrastructure, AI code review, LLM governance, and measurement systems. Partner with infrastructure, security, ML, and product teams to drive safe, measurable AI adoption across the software development lifecycle.
Leads engineering team building scalable storage systems for Reddit's search infrastructure, focusing on full-text and vector search technologies. Requires 7+ years backend infra experience, 3+ years people management, and expertise in high-scale environments.
Leads the Embeddings Platform team to architect and maintain foundational ML embeddings using graph neural networks, transformers, and foundational models. Drives scalable infrastructure for ML teams, requires 8+ years software experience and 4+ years people management.
Lead a team of ML engineers building large-scale retrieval systems for Reddit's personalized feeds. Requires 2+ years managing ML/recommender teams plus deep expertise in production recommender systems, embeddings, and transformers.
Lead a team of ML engineers building recommendation systems for Reddit's Feed Ecosystems. Focus on improving relevance for new users, distributing new content and communities, and balancing personalization with ecosystem health across 100k+ communities. Requires 2+ years managing ML teams and deep expertise in production recommender systems.
Lead and grow Reddit's Site Defense and Transport teams, driving critical infrastructure migrations (Fastly to Cloudflare, Thrift to gRPC), expanding bot/DDoS defenses with ML-at-ingress, and maintaining high availability for one of the internet's largest sites. Requires 3+ years people management and 5+ years internet-scale infrastructure experience.
Engineering Manager leading the Media Foundations & Delivery team at Reddit. Drive media infrastructure modernization, optimize global video playback and distribution via CDNs and edge computing, standardize streaming formats, and manage cross-functional Backend/Mobile/Web teams to scale video consumption.
Lead a team of ML and systems engineers focused on model optimization, training/inference efficiency, and tooling for Ads ML at Reddit. Drive measurable wins in training time, latency, cost, and launch readiness while partnering with ranking and platform teams.
Lead and mentor a machine learning team building engagement prediction models for Reddit Ads. Define technical vision, drive model development from ideation to production, and collaborate with PMs and data scientists.
Lead the Ads Advanced Signals Team, focusing on scaling and evolving APIs, integrations, and tooling for Reddit Ads' off-platform signals ecosystem. Drive the technical vision, execution, and career development for a team of engineers.
Lead engineering teams building AI-assisted developer productivity platforms including agent infrastructure, AI code review, LLM governance, and measurement systems. Partner with infrastructure, security, ML, and product teams to drive safe, measurable AI adoption across the software development lifecycle.
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Leads engineering team building scalable storage systems for Reddit's search infrastructure, focusing on full-text and vector search technologies. Requires 7+ years backend infra experience, 3+ years people management, and expertise in high-scale environments.
Leads the Embeddings Platform team to architect and maintain foundational ML embeddings using graph neural networks, transformers, and foundational models. Drives scalable infrastructure for ML teams, requires 8+ years software experience and 4+ years people management.