Senior Machine Learning Engineer, Supply & Insights DnA
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The role
Lead the design, development, and deployment of production-grade machine learning models for marketplace product, business, and operations.
Build and continuously improve models that handle large-scale structured and unstructured data, with both batch and real-time use cases.
Collaborate with Software Engineers, Product Managers, Data Scientists, and Operations to identify opportunities, refine requirements, and quantify impact.
Prototype ML use cases, iterate with stakeholders, and design APIs and services to serve model-driven data to product features.
Own end-to-end ML infrastructure and pipelines, ensuring robustness, monitoring, testing (including A/B tests), and scalable deployment.
Requirements include 5+ years of ML experience, strong programming in Python/Scala/Java/C++, expertise in ML best practices, and experience with TensorFlow/PyTorch, Kubernetes, Spark, Airflow, and data warehousing.
Build and continuously improve models that handle large-scale structured and unstructured data, with both batch and real-time use cases.
Collaborate with Software Engineers, Product Managers, Data Scientists, and Operations to identify opportunities, refine requirements, and quantify impact.
Prototype ML use cases, iterate with stakeholders, and design APIs and services to serve model-driven data to product features.
Own end-to-end ML infrastructure and pipelines, ensuring robustness, monitoring, testing (including A/B tests), and scalable deployment.
Requirements include 5+ years of ML experience, strong programming in Python/Scala/Java/C++, expertise in ML best practices, and experience with TensorFlow/PyTorch, Kubernetes, Spark, Airflow, and data warehousing.
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