Customer Engineer

Stack

Responsibilities

• ▹Ship code that matters: fix bugs, build features, and create automation that improves the experience for every Modal user
• ▹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
• ▹Close the feedback loop: translate patterns from the field into concrete improvements (docs fixes, API changes, feature proposals)
• ▹Contribute to open source and technical content: write examples, build demos, publish content

Requirements

• ▹Accomplished in at least one key area: low-level infrastructure OR ML/AI engineering, and not lost in the other
• ▹Low-level infrastructure experience: operating systems, file systems, networking, performance profiling, cluster management, distributed systems
• ▹AI/ML engineering experience: training models, optimizing inference, working with GPUs, building ML infrastructure
• ▹Automation mindset: instinct to eliminate manual processes
• ▹Clear communicator: can explain a systems issue to a customer and write crisp bug reports and documentation

Soft skills

About the company

Modal builds AI infrastructure products that run some of the world's most demanding AI workloads. Customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno.