Staff Backline Engineer – ML/AI

Highlights

• Serve as senior escalation point for the most complex ML/AI customer issues.
• Partner across Support, Engineering and Product to drive issues to resolution.
• Turn recurring failures into better diagnostics, tooling and automation.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits

Ideal candidate

Seasoned troubleshooter who thrives on complex distributed systems and customer impact. You love digging into ambiguous failures, mentoring others, and turning patterns into lasting product improvements.

Requirements

• Deep troubleshooting experience with distributed ML/AI systems across application code, frameworks and infrastructure
• Strong hands-on Python experience building, modifying and debugging ML workloads
• Strong understanding of Databricks ML/AI technologies and model lifecycle management
• Strong Apache Spark knowledge including distributed computing and performance optimisation
• Experience troubleshooting training and inference performance and distributed execution
• Experience with ML deployment and infrastructure including production ML systems