5+ years ML at scale; 3+ years in technical leadership in ranking/recs.
Multi-objective optimization; online testing and attribution.
Python coding; SQL/Pandas; XGBoost; TensorFlow/PyTorch.
Strong analytical skills; cross-functional communication.
Preferred: Multi-task learning architectures (MMOE/PLE); calibration.
Preferred: Low-latency ranking services; feature stores, caching, vector retrieval.

🎁 Benefits

Flexible remote work with our Flex First policy.
New hire equity grant and annual refresh grants.
Market-competitive compensation and comprehensive benefits.
Mentorship and opportunities to collaborate across teams.

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