Deep Learning Data Engineering Intern
August 21
🔄 Hybrid – Los Angeles
Description
• Assist the data team at various stages of projects supporting our ML pipeline • Partner closely with other Deep Learning Data Engineers, Scientists and various teams to understand data requirements • Deliver high-quality audio/speech datasets that power next-generation AI models • Responsible for data versioning, data DevOps, and persistent storage
Requirements
• Bachelor's degree in computer science, machine learning, computer vision, or a related field • 1+ years of experience preparing large datasets for deep learning and neural network models • Experience with data collection, labeling, and cleaning using various tools • Data labeling, annotation and curation for multimodal datasets • Experience automating data preparation and data upload to software platforms like Encord. • Experience with building ML pipelines to automate label or model predictions imports • Experience with tools like Flyte, Airflow or Kubeflow
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