Staff Machine Learning Engineer

• Experience running GPU-based ML workloads at meaningful scale
• Strong software engineering fundamentals - you write production-grade code and you care about correctness
• Comfortable reasoning about failure modes, model degradation, and what happens when things go wrong in the wild
• Independent judgment - you can navigate ambiguity and make pragmatic trade-offs without being hand-held

Who this isn’t for

ML engineers who’ve only ever worked in notebooks. Researchers chasing publications. Anyone who needs a stable, well-defined system before they can contribute. This is a hands-on, high-ownership role in a pre-launch team moving fast.