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VLM Run

VLM Run is hiring a founding infrastructure engineer in the Bay Area to build and scale its visual intelligence inference platform.

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Bay Area full-time lead

Skills

inference platform engineeringmachine learning infrastructureRayKubernetesGPUsserverlessGitHub profileproduction ML systemscomputer visionautonomous driving ML infrastructureLLM infrastructureopen-weight VLMsembodied VLAsViTs

Domains

AI computer vision machine learning infrastructure inference platforms
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VLM Run (https://vlm.run) | 1x Founding Infrastructure Engineer | In-Person (Bay Area) | Full-time
We’re building the inference platform for visual intelligence. We’re a deeply technical team of AI / computer-vision engineers (20+ years combined, MIT/CMU/NC State PhDs) who’ve shipped production ML infra across autonomous driving and LLMs.
We launched the VLM Run Gateway (https://vlm.run/gateway) in September, a unified API that serves open-weight VLMs, embodied VLAs, ViTs, served across a fleet of GPUs and clouds. That's exactly the infrastructure problem this role will own. We're already scaling to serve 100s of thousands of requests per day, so if this sounds exciting to you, read on.
Email us at [email protected] with your GitHub profile, papers, ML projects you’ve recently shipped (100+ GH stars only) - especially with Ray, k8s, GPUs, serverless. No AI text please, keep it short, shorter emails are more likely to get a response. No remote work, must be in the Bay Area (specify in email subject).

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