# [Senior/Mid/Junior] machine learning engineer · [city] or remote

We are hiring our [Nth] ML engineer. You will own a model in production end-to-end (currently: [the X model, ~Y predictions/day]). The team is [N] ML engineers, [N] researchers, and [N] platform engineer. [How you evaluate]. [How you ship].

## You will be good here if

- You have shipped a model to production and watched what happened next.
- You write the baseline before you write the model.
- [The third trait you actually care about].

## What we use

[Frameworks, infra, serving stack]. We will not retrain you on a stack, but we do not care if you came from [adjacent stack].

## Compensation

[Currency][low] to [high] base. [low] to [high] percent equity. We post the band because we mean it.

## How we hire

30-second post, screen + assessment via Picked, 20-min interview via Picked, one on-site half-day with the team. We aim to give a yes or no in 7 days.

## What is the rubric

Modelling judgement, production discipline, evaluation honesty, cost awareness, comms with researchers. Not credentials.

That is the JD. Apply via [link] or just send a paragraph about the last model you shipped to production.

[Your name], [your title]