R
$230,000 – $322,000
Listed on Reddit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.
Our summary, not Reddit’s wording. The full posting is on their site.
Skills this role names
- Apache Beam
- Apache Spark
- Google BigQuery
- Google Cloud Storage
- Kubernetes
- MLflow
- Neo4j
- Python
- PyTorch
- TensorFlow
- Terraform
- TigerGraph
- V-Ray
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What they ask for
Required
- 8+ years of ML infrastructure experience including model training and deployments
- Hands-on ML optimization experience with memory and GPU profiling
- Deep experience with cloud-based ML platform technologies (GCP BigQuery, Google Cloud Storage, Terraform)
- Hands-on experience with MLOps tools for experiment tracking and model serving
- Proficiency in Python and ML frameworks (PyTorch or TensorFlow)
- Experience with distributed training frameworks (Ray and Kubernetes)
- Strong focus on scalability, reliability, and performance
Nice to have
- Experience with graph databases (Neo4j, JanusGraph, TigerGraph)
- Experience with graph neural networks and associated frameworks (PyTorch Geometric, Deep Graph Library)