Senior Machine Learning Systems Engineer

Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

The Machine Learning Platform team at Reddit owns the infrastructure that powers recommendations, content discovery, and user and content quantification, directly impacting teams such as Growth, Ads, Feeds, and Core Machine Learning.

• Lead development of a platform for large-scale ML models at Reddit.
• Design end-to-end model lifecycle patterns (MLOps) to boost development velocity for ML engineers, including data preparation, model management, and experiment tracking.
• Zero-to-one development and support of a graph ML codebase and platform that abstracts common patterns and enables greater model scalability and iteration.
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment.
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more.
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges.

• 5+ years of experience in ML infrastructure, including model training and model deployments.
• Hands-on experience with ML optimization, including memory and GPU profiling.
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more.
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g., MLflow or Wandb).
• Proficiency with common programming languages and frameworks of ML, such as Python, PyTorch, TensorFlow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes.
• Strong focus on scalability, reliability, performance, and ease of use.
• Strong organizational and communication skills.
• Experience with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus.
• Experience with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus.

Base salary range: $216,700—$303,400 USD. This role is eligible for equity in the form of restricted stock units, and depending on the position offered, may also be eligible for a commission.

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.

Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reasonable accommodations are available for qualified individuals with disabilities.