Data Engineering - Frontier AI Lab
Upto $350k plus bonus & equity
My client's models are only as good as their data. Right now, the data is the bottleneck.
Not compute. Not architecture. Data.
So they're hiring one person to own it.
Petabyte-scale multimodal datasets for video, robotics, and audio. You'd build the ingestion, dedup, quality scoring, and captioning that decide what makes it into a training run. Some days, tuning platforms processing millions of hours. Some days, sitting with a researcher to work out why the captions are wrong.
Member of Technical Staff, Data Engineering. Palo Alto (3 days per week). Up to $350k plus bonus and equity. They sponsor and relocate.
Their words: they care more about how you think about data than about your years or publication record.
If you've built this, not used it, built it, apply now
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