Customer Engineer

About This RoleAI processing…

Key Responsibilities

• 1
  Ship code that matters. Fix bugs, build features, and create automation that improves the experience for every Modal user — not just the one who reported the issue.
• 2
  Work directly with customers. Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls.
• 3
  Build scalable systems. Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments.
• 4
  Close the feedback loop. Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals.
• 5
  Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal.

Requirements

• Accomplished in key areas. You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other.
• Low-level infrastructure experience. Operating systems, file systems, networking, performance profiling, cluster management and distributed systems.
• AI/ML engineering experience. Training models, optimizing inference, working with GPUs, or building ML infrastructure.
• Automation mindset. Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen.
• Clear communicator. Can explain a systems issue to a customer, write a crisp bug report, and draft documentation, all while collaborating internally to ship improvements.

Perks & BenefitsTypical for this role