Staff Engineer

VLM Run | Santa Clara, California, United States | Today

full-time | on-site | lead

skills: machine learning, product engineering, ml engineering, rust, python, inference, orchestration, vision-language models, cli, benchmarking

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We're building the inference and orchestration layer for production Vision-Language Models. We care deeply about fast and ergonomic visual inference, reliable structured outputs, and the observability to iterate on them.

A few things we've shipped recently you can poke at:

  1. Orion: our visual agent that reasons and acts over images, video, and documents. Chat at https://chat.vlm.run.
  2. mm-ctx: a Unix-style multimodal CLI (find, cat, grep, wc) that gives coding agents real context over images, video, and PDFs. Rust core, Python devex. 
  3. vlmbench:  single-file CLI for benchmarking VLM inference (TTFT, TPOT, throughput) across vLLM, Ollama, and SGLang.

Apply: https://app.dover.com/jobs/vlm-run

Email hiring "at" vlm.run with your GitHub + a couple recent projects.

[1] https://chat.vlm.run

[2] https://pypi.org/project/mm-ctx | https://www.vlm.run/open-source/mm

[3] https://github.com/vlm-run/vlmbench | https://www.vlm.run/open-source/vlmbench

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