The opportunity
AI needs a new infrastructure layer. We're building it at Modal.
What you'll do
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.
Work directly with customers. Help developers and ML engineers debug,: optimize, and architect their workloads across Slack, email, and calls.
Build scalable systems. Design tooling, dashboards, and automated workflows: that make support efficient at scale — delighting customers at the most important moments.
Close the feedback loop. Translate patterns you see in the field into: concrete improvements — docs fixes, API changes, or new feature proposals.
Contribute to open source and technical content. Write examples, build demos,: and publish content that helps the broader community succeed on Modal.
Accomplished in key areas. You bring depth in either low-level infrastructure: or ML/AI, and you're not lost in the other.
What they're looking for
- 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.
