Engineering
Founding ML Engineer
Own the models that find the moments and keep the voice. You will build and measure the pipeline that reads a two-hour transcript and turns it into a board of content that still sounds like the creator.
- Location
- Austin, TX or Remote (US)
- Type
- Full-time
- Compensation
- $180,000 to $230,000 + equity
Verso turns one long recording into a week of content. The quality of that content is the quality of our moment detection and our voice matching, and both are your domain.
You will work directly with the CTO on the routing layer, the evaluation set, and the prompts and post-processing that keep every output grounded in what the creator actually said.
What you would own
- Design and improve best-moment detection across long transcripts
- Build the voice-matching that rewrites each format in the creator's style
- Own the evaluation set that every model and prompt change is measured against
- Tune the model routing layer for quality, latency and cost across providers
- Keep the anti-fabrication guarantees honest as models change
What we are looking for
- Strong applied experience with language models in production
- A habit of measuring quality with evals rather than vibes
- Comfort owning a system end to end, from prompt to post-processing
- Care for the creator on the other end of the output
How hiring runs
A thirty-minute call with a founder, then a paid work session on a real problem from our backlog, three to four hours, then conversations with two people you would work with. Four steps, usually inside two weeks, and we tell you where you stand at every one.