jobs in the wild.

We're building the bridge between frontier AI models and real scientific discovery. And we're doing it early - which means you get to define what that looks like. Here's what makes this different: Lila has its own labs and instruments. We don't just build models in isolation - we test them, iterate on them, and refine them against real science happening in our own facilities across medicine, materials, and energy. That's research to production in the truest sense. As an early member of our Applied AI org, you'll shape how we: - Train and adapt models for production at scale - Build evaluation loops grounded in real scientific outcomes - Move research breakthroughs into usable systems - Partner research and engineering to close the last-mile gap Your decisions on architecture, tooling, and process will define how the team scales - and directly impact the science we're solving. Looking for Senior/Staff ML Engineers who've bridged research-to-production gaps and want to do it again - but with actual labs backing you up. Cambridge, MA or San Francisco. Job Posting: https://lnkd.in/gdNjeKwg