ML Engineer

You will own the end-to-end ML stack behind the weekly scan: from feature pipelines over fundamentals and price action, to ranking models that surface names doing something genuinely interesting, to the eval harness our editors review every cycle.

We care about clean signal more than fancy architectures. You should be comfortable arguing for the simplest model that holds up out-of-sample, and equally comfortable shipping something more involved when the data warrants it.

You will work closely with the research team — this is not a research-paper job. The bar is models that meaningfully improve what shows up in next week’s brief.