Staff Machine Learning Engineer

Required

• You've shipped production ML for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck.
• You've built recommender systems or personalization that reached real users at scale, and you can point to what moved because of it. You're deep in the Python ML ecosystem (pandas, scikit-learn, XGBoost, PyTorch) and fluent across the whole lifecycle, from orchestration to monitoring, not just training. The thing that sets you apart: you build custom representations from raw data instead of reaching for the off-the-shelf embedding.
• A few things that tend to be true of people who thrive here:
• You measure yourself by impact: a customer outcome, or a model a dozen surfaces come to depend on.
• You go zero-to-one: define the problem space, architect from scratch and own it end to end.
• You're curious: you spot problems before they're filed and push your own ideas until they ship.