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1w ago
1x Founding Infrastructure Engineer
VLM Run ( ) In-Person (Bay Area)
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Why this grade This listing scored 34/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Description depth 8 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
We’re building the inference platform for visual intelligence. 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.
We just launched the VLM Run Gateway (https://vlm.run/gateway), 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.
If you’re interested, email us at [email protected] with your GitHub profile and link to projects you’ve recently built - especially with docker, k8s, GPUs.
Apply for this role Opens vlm.run — the employer's own page, as linked by the source that listed this role
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Where this listing came from
- 02 Sep 2026 Hacker News first sighting
Seen on 1 board over 28 days.