Infrastructure Engineer / AI/ML Engineer
VLM Run | Santa Clara, California, United States | 1w ago
$150,000 – $220,000/yr| full-time | on-site
skills: machine learning, ai, infrastructure, inference, orchestration, observability, computer vision, llms, mlops, distributed systems, cloud computing
VLM Run is building infrastructure for production Vision-Language Model (VLM) systems — fast inference, tool-use + orchestration, reliable structured outputs, and the observability to iterate quickly. We’re a deeply technical team of veteran AI / computer-vision engineers (20+ years combined, MIT/CMU PhDs) who’ve shipped production ML infrastructure across autonomous driving and LLMs.
Open roles:
1. Infrastructure Engineer (Full-time, ONSITE): $150K–$220K + 1–3% equity https://app.dover.com/apply/VLM%20Run/8d4fa3b1-5b38-42e1-927...
2. AI/ML Engineer (Full-time, ONSITE): $150K–$220K + 0.5–3% equity https://app.dover.com/apply/VLM%20Run/1a490851-1ea1-4f12-a0f...
Email hiring "at" vlm.run with your GitHub + a couple recent projects.
P.S. We recently launched Orion, our visual agent that can reason and act over images, videos and documents. You can chat with Orion at https://chat.vlm.run and see capabilities at https://docs.vlm.run.
Benefits
equity
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