Customer Engineer
Builds technical support for AI/ML workloads by shipping code, automating fixes, and directly assisting customers with debugging and optimization. Requires deep expertise in low-level infrastructure or AI/ML engineering with strong communication skills.
About the job
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 into docs fixes, API changes, or new feature proposals.
- Contribute to open source and technical content: write examples, build demos, and publish content.
Requirements
- Depth in low-level infrastructure (operating systems, file systems, networking, performance profiling, cluster management, distributed systems) or AI/ML engineering (training models, optimizing inference, GPUs, ML infrastructure), with familiarity in the other.
- Automation mindset to eliminate manual processes.
- Clear communicator for explaining issues, writing bug reports, and documentation.
Skills
Distributed Systems, Operating Systems, Networking, Gpus, Machine Learning, Model Training, Inference Optimization, Performance Profiling, Kubernetes, Automation
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