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How to Write a Resume for Modal

Modal is the serverless cloud for AI and data workloads. Their platform lets you run Python code on GPUs with zero infrastructure management. Just decorate your function and it runs in the cloud. They've nailed the developer experience for ML engineers who want to train models and run inference without managing Kubernetes or cloud infrastructure.

Size

80+ employees

HQ

New York, NY

What It's Like to Work There

Small, deeply technical, and infrastructure-obsessed. The team is tiny but builds sophisticated cloud infrastructure. High ownership, fast iteration, and a genuine focus on developer experience.

Resume Tips for Modal

1

Serverless infrastructure and cloud platform experience is directly relevant. Show you understand container orchestration, GPU scheduling, and cloud compute management.

2

Python expertise matters. Modal's entire developer experience is Python-native.

3

Show experience with GPU infrastructure, CUDA, or ML workload management.

4

Systems programming skills are valued. Modal builds low-level infrastructure for running code in the cloud.

5

If you've built developer-facing infrastructure tools, that experience translates well.

Hiring Process

1

Application review emphasizing systems programming and cloud infrastructure experience

2

Technical interview with deep systems and infrastructure questions

3

Pair programming or project evaluation

4

Team conversations about your approach to infrastructure and developer experience

Interview Style

Very technical interviews focused on systems programming, cloud infrastructure, and distributed computing. They want to see deep understanding of how cloud platforms work under the hood.

Top Roles They Hire

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