Staff Machine Learning Systems Engineer at Reddit

This role is for a heavyweight engineer with at least eight years of experience building large-scale machine learning infrastructure. You should have deep expertise in PyTorch and distributed training with Ray, specifically within a Google Cloud environment. **What makes it worth a look...** The compensation is significantly high for a fully remote position, reaching up to $322,000 in base salary plus equity and 401k matching. You will get to lead zero-to-one development of graph machine learning platforms that handle tens of billions of data edges for a massive global user base. **You might be a good fit if you...** * Have mastered GPU profiling and memory optimization for large-scale model training. * Can architect complex data pipelines using Apache Spark, Beam, or Kubernetes. * Know how to bridge the gap between MLOps tools like MLflow and production-ready graph databases. * Are comfortable designing end-to-end model lifecycles for platforms with over 100 million daily users.