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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.

150k – 230kNew York, NYSan Francisco, CASupport EngineeringHybrid

About the role

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 SystemsOperating SystemsNetworkingGpusMachine LearningModel TrainingInference OptimizationPerformance ProfilingKubernetesAutomation

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