Staff Machine Learning Systems Engineer, Embeddings Platform
Core
Architecting and leading large-scale machine learning models and systems for Reddit's recommendation and personalization engines.
Role type
Staff Machine Learning Systems Engineer (Embeddings/Recommendations)
Builds
Scalable deep learning architectures, distributed training systems, and real-time embedding serving infrastructure for Reddit's ecosystem.
Domain
Social Media / Recommendation Systems / Deep Learning
Deliverable
production ML models
Required skills
Large-scale ML systems design, deep learning architectures (sequence/foundational models), distributed training, real-time inference optimization, Python/C++, ML infrastructure, cloud pipelines, A/B testing, technical leadership, cross-functional collaboration
Preferred skills
Experience with multi-entity relationships modeling, cutting-edge AI research evaluation, mentoring senior engineers
Technologies
Python, C++, GPUs, Cloud environments
Responsibilities
Architect next-generation large-scale ML techniques, define and execute ML strategy for personalization, lead research on scalable systems and real-time adaptation, partner on high-performance distributed training, establish real-time serving architectures for embeddings, mentor senior and mid-level engineers, drive technical discussions and long-term ML planning
Seniority
Staff, hands-on IC with strategic influence
