Databricks
Staff Backline Engineer – ML/AI
Bellevue, Washington +2 · Staff · Full-time · Posted Feb 20, 2025
- Location
- Bellevue, Washington
San Francisco, California
United States - Visa sponsorship
- The employer may choose whether to apply for a U.S. government license for duties requiring access to export-controlled technology or source code, and may decline to proceed with an applicant on that basis.
About the job
Serves as a senior escalation expert investigating and resolving complex customer issues across Databricks ML/AI systems, while improving platform supportability and mentoring engineers.
What you'll do
- Troubleshoot, reproduce, and identify root causes of complex ML/AI training, inference, performance, and deployment issues.
- Partner with Engineering, Product, Support, and customers to resolve escalations and drive product improvements.
- Turn recurring issues into better diagnostics, documentation, tooling, automation, and support capabilities; mentor engineers.
What they ask for
- Deep troubleshooting experience with distributed ML/AI systems across application code, frameworks, infrastructure, and platform.
- Strong hands-on Python experience and ability to debug ML workloads using frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
- Strong understanding of Databricks ML/AI technologies and Apache Spark, including distributed computing and performance optimization.
- Experience troubleshooting training and inference performance and ML deployment/infrastructure, including Kubernetes, CI/CD, and production ML systems.
Pay
$170.40 — $255.60 USD (salary range)
Tools
Python, PyTorch, TensorFlow, Scikit-Learn, MLflow, Apache Spark, Kubernetes, CI/CD
AI focus
Investigates and resolves ML/AI platform issues involving model training, inference, Model Serving, MLflow, Feature Engineering, and distributed workloads; contributes to diagnostics, automation, and Claude skill capabilities.
Model-written summary · the original posting is authoritative