Modal
Customer Engineer
New York
Sponsorship not specifiedDetected 302 days ago
Machine LearningValuationCustomer Support
About the role
- You'll split your time roughly 50/50 between working directly with customers and shipping fixes, features, and automation that improve Modal for everyone.
- When you help a customer debug a training run, you'll also fix the underlying issue in the platform.
- This role is for people who solve problems, not people who answer tickets.
Responsibilities
- 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.
- Contribute to open source and technical content. Write examples, build demos, and publish content that helps the broader community succeed on Modal.
Requirements
- AI/ML engineering experience.
- Your instinct when you see a manual process is to eliminate it and you have the engineering background to make that happen.
Company info
- AI needs a new infrastructure layer. We're building it at Modal.
- Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
- AI needs a new infrastructure layer.
- We're building it at Modal.
- Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud.
- Each time, the company that rebuilt the layer underneath defined the decade.
- AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
- They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
- We've crossed $300M+ ARR and grown fivefold since September.
- Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
This listing is sourced directly from Modal's careers page and normalized into a canonical job model.