About the role
TL;DR
Build and scale ML pipelines for an AI agent monitoring platform.
- •Raindrop is building the monitoring platform for AI agents, used by leading AI companies to catch silent failures in production.
- •This role involves building out a world-class product that services millions of requests a day.
- •You will architect, implement, and scale ML pipelines, iterate quickly without compromising quality, and deeply understand the customer.
- •Key Responsibilities Build out a world-class product servicing millions of requests a day and growing.
- •Architect, implement, and scale ML pipelines.
- •Quick iteration without compromising on quality.
- •Deeply understand the customer.
- •Requirements Knows how to balance short-term and long-term speed.
- •Proven experience scaling applications.
- •Interest in AI products + tools (ideally experience building these or an avid user).
- •Cares about building well-designed products.
- •Willing to do whatever it takes to solve a problem.
- •Must be in person in San Francisco (or willing to move).
Required skills
PythonLangChainMLflowTensorFlowPyTorchscikit-learnAWSGoogle CloudAzureDockerKubernetesCI/CDGit
Domain expertise
aideveloper-tools
Tech stack
PythonTensorFlowPyTorchscikit-learnLangChainAWSGoogle CloudAzureDockerKubernetesCI/CDGit