Senior Machine Learning Scientist
CurrentDesign and implement product-matching and product-similarity solutions. Collaborate with cross-functional partner teams and stakeholders to support diverse applications such as algorithmic pricing, catalog deduplication, and product-level competitive intelligence.▪ Deploy and maintain robust and scalable ML pipelines with complex data dependencies, supporting throughput on the scale of tens of terabytes of data with the use of distributed engines such as Spark and Dask. ▪ Apply both existing and novel technologies to boost the performance of core ML products; examples range from scalable approximate-nearest-neighbors to explainable AI algorithms for model diagnostics.▪ Accelerate data science development by automating common tasks in the ML lifecycle such as experiment tracking, hyperparameter optimization, and model evaluation, storage, and serving. ▪ Conduct architectural and conceptual design reviews, focusing on mathematical soundness, cost efficiency, scalability, and adherence to engineering best practices.
