Machine Learning Engineer

• As a Machine Learning Engineer, you'll own ML problems end to end, from framing an ambiguous question to shipping a production system. There's no ticket queue and no narrow scope: everyone here, including newer engineers, stands up new jobs and makes changes across the codebase without close supervision. You'll decide what data matters, which models fit, and how the system around them should work. The role is roughly half research and half engineering, on a team that reports to our Chief Scientist.

At Lovelace, every engineer is a manager of AI. Our engineers work alongside AI coding agents every day, and the most valuable thing you'll bring is judgment: knowing what to build, catching when an agent gets it wrong, and owning the design decisions.

We're looking for people who ramp in weeks, not months. You don't need industry experience; strong research lab backgrounds are welcome. What matters is that you've owned hard problems and can think critically about your own work and your agents'.