Staff Machine Learning Engineer, Listings and Host Tools Data and AI
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The role
Work with large-scale structured and unstructured data to build and continuously improve ML models for product, business, and operational use cases, with emphasis on NLP and computer vision.
Collaborate with software engineers, product managers, operations, and data scientists to identify opportunities, refine requirements, and quantify impact.
Prototype ML use cases for product integration and iterate with stakeholders on requirements.
Develop, productionize, and operate ML models and pipelines at scale, including both batch and real-time use cases.
Design and build services and APIs to enable serving ML-driven data to product features.
Apply ML best practices in training/serving skew minimization, A/B testing, feature/model selection, and scalable deployment to drive measurable outcomes.
Collaborate with software engineers, product managers, operations, and data scientists to identify opportunities, refine requirements, and quantify impact.
Prototype ML use cases for product integration and iterate with stakeholders on requirements.
Develop, productionize, and operate ML models and pipelines at scale, including both batch and real-time use cases.
Design and build services and APIs to enable serving ML-driven data to product features.
Apply ML best practices in training/serving skew minimization, A/B testing, feature/model selection, and scalable deployment to drive measurable outcomes.
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