- Develop and deploy production machine learning algorithms and core infrastructure for buyer and seller experiences.
- Contribute to and set direction across opportunity sizing, feature engineering, model training, evaluation, load testing, deployment, and alerting.
- Design and implement supporting infrastructure, including streaming pipelines, async worker queues, event enrichment, continuous training loops, and model monitoring systems.
- Build LLM tool access controls and dynamic agent evaluation frameworks.
- Define project roadmaps that deliver value quickly while building scalable, extensible systems.
- Turn experimental ideas into scalable, well-tested, monitored production systems.
- Communicate tradeoffs and findings to product teams and leadership.
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