Currently tracking 26 active AI roles, up 37% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $191k–$410k (avg $293k).
Consumer · Social
| Title | Stage | AI score |
|---|---|---|
| Senior Engineering Manager, Unified Embeddings Platform Senior Engineering Manager to lead the Unified Embeddings Platform team at Reddit. This role will architect, implement, and maintain a platform for foundational ML embeddings using state-of-the-art architectures like GNNs, foundational models, and sequence models. The platform will empower ML engineers and data scientists across Reddit to improve the ML feature software development lifecycle, enabling access, storage, and sharing of embeddings. | Data | 8 |
| Senior Machine Learning Engineer, ML Training Platform Senior Machine Learning Engineer focused on building and maintaining the ML training platform infrastructure at Reddit. This role involves architecting, implementing, and optimizing systems for large-scale ML workflows, including Kubernetes automation, GPU orchestration, and developer experience for internal ML engineers. The goal is to deliver a self-service ML platform that supports continuous iteration and improvement of ML systems. |
| Data |
| 7 |
| Data Scientist Data Scientist role at Reddit focused on designing, developing, and applying data science solutions to improve advertiser experience and ad platform performance. This involves analyzing large datasets, developing ML models for anomaly detection and prediction, and collaborating with product managers and engineers. Requires a Master's degree and experience in data science/ML, with specific skills in statistical modeling, ML algorithms, causal inference, experimentation, large-scale data processing (Spark, Hadoop, Hive), Python/R, ML libraries (scikit-learn, TensorFlow, PyTorch), and SQL. | Data | 5 |
| Senior Software Engineer, ML Training Platform Senior Software Engineer, ML Training Platform at Reddit. This role focuses on building feature stores and infrastructure for ML model training and online inference, aiming to improve the ML feature software development lifecycle and advance the ML Platform. The role involves leading development, mentoring team members, and collaborating with other engineering teams. | Data | 5 |