Description
About the Role\n--------------\n\nAs a software engineer at Sieve, you’ll work across the stack to build and scale the data pipelines that create the datasets we deliver to customers. You’ll have ownership over projects end-to-end: from how data is sourced and curated, to developing ML filters, improving system efficiency, and building internal dashboards for QA and delivery. You’ll play a critical role in ensuring customers receive high-quality data on time, every time.\n\nThis role is ideal for someone who thrives on solving hard problems, enjoys working directly with customers pushing the frontier of Video AI, and wants to be challenged to achieve at the highest level.
Company
Sieve is a video data research lab that curates and licenses large-scale video datasets for AI training. It records video from scratch and aggregates it from multiple sources, filters for quality, indexes billions of videos with detectors and embeddings, and annotates with dense labels and pairings. Customers include leading AI labs, Fortune 100 companies, and fast-growing AI startups. The company provides ready-to-use datasets or custom datasets, free data samples, and purchase-based access with SLA-based delivery via S3-compatible transfer, emphasizing compliance and scalable, secure delivery.
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