Staff Machine Learning Systems Engineer
Software Development
WFA Digital Insight
As demand for AI and ML specialists continues to surge, Reddit's Machine Learning Platform team is at the forefront. With 100,000+ active communities, Reddit's platform requires innovative solutions to power recommendations and content discovery. Given the 25% growth in ML engineering roles in 2025, candidates with expertise in MLOps and graph ML are in high demand. Before applying, consider Reddit's unique community-driven approach and the need for scalable, efficient ML solutions.
Job Description
About the Role
The Machine Learning Platform team at Reddit owns the infrastructure powering recommendations, content discovery, and user quantification. As a Staff ML Infrastructure Engineer, you will lead the development of a platform for large-scale ML models.Responsibilities
- Design end-to-end model lifecycle patterns to boost development velocity for ML engineers
- Develop and support a graph ML codebase and platform for greater model scalability and iteration
- Collaborate on performance tuning, improving model training time and efficiency
- Optimize batch data processing and architect pipelines for massive graph data structures
Requirements
- 8+ years of experience in ML infrastructure development
How to Stand Out
- Familiarize yourself with MLOps tools like Apache Beam and Apache Spark to stand out in the application process.
- Showcase your experience with graph ML and large-scale model development in your portfolio.
- Prepare to discuss how you've optimized model training time and efficiency in previous roles.
- Be ready to explain your approach to architecting pipelines for massive graph data structures.
- Highlight your collaborative experience working with ML engineers to improve model performance.
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