Design and deploy ML models for competitive signals from crawled data.
Build end-to-end ML pipelines for offline training and low-latency online serving.
Apply entity resolution to map listings to Airbnb taxonomy.
Collaborate with crawling infra, data engineers, and product teams to define ML problems.
Run offline and online experiments to evaluate models and drive decisions.

🎯 Requirements

5–10 years of applied ML experience with production models.
Python expert; experience in Scala/Java a plus.
ML fundamentals: feature engineering, model selection, A/B testing, skew mitigation.
Proficient with TensorFlow or PyTorch; transformers and gradient boosted trees.
Experience building end-to-end ML pipelines (batch and real-time).
BS/MS/PhD in CS, ML, or related field.

🎁 Benefits

Remote-eligible with US-based location.
Comprehensive health, dental, and vision coverage.
Generous PTO and parental leave.
Bonus, equity, and Employee Travel Credits.

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