Avride
Machine Learning Engineer
Austin, Texas. Posted 14 months ago
About the job
About the role We're hiring an experienced ML engineer to work on the models that see. You'll own problems end to end: deciding what data you need, getting it, training on it, proving the result is actually better, and getting it running inside the vehicle's constraints. The problems you'd be working on Rather than a list of responsibilities, here's what the team is actually chewing on: A model that's two points better offline can be worse on the road. Aggregate benchmark numbers hide the failures that matter — the rare scene, the unusual agent, the bad lighting. Building evaluation that predicts on-road behaviour, and knowing when to distrust your own metric, is a bigger part of this job…
Read the full posting on Avride’s site