
Staff Machine Learning Systems Engineer
Lead design and implementation of an end-to-end ML platform (model lifecycle, experiment tracking, model registries, serving) and develop graph ML codebases and pipelines at scale. Requires 8+ years in ML infrastructure with hands-on experience in distributed training, GPU optimization, cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), and frameworks such as Python, PyTorch, Ray, and Kubernetes. Base salary range listed: $230,000—$322,000 USD per year.













