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As Data Operations Lead, you'll manage the data operations platform, oversee workforce management, drive user acquisition, and improve QA processes.

As a Software Engineering Intern at Sieve, you will build and scale data pipelines, develop ML filters, and create dashboards while ensuring timely delivery of high-quality data to customers.

As an intern, you will build performance-focused pipelines for understanding video data, working on ambiguous research problems in computer vision and audio processing.

Sieve is seeking a Founding Reliability Engineer to build and maintain infrastructure for petabyte-scale video workloads, focusing on reliability and security. Responsibilities include incident response, cloud security, and observability systems management.

As the first recruiter at Sieve, you'll establish the recruiting function, hire for engineering and product roles, and participate in diverse recruiting activities.

As a Product Engineer, you'll build a video collection platform, working full stack across frontend, backend, and mobile to ship products, improve reliability, and develop internal tools.

As the first operations hire at Sieve, you will scale data operations, forge partnerships, and optimize human QA processes to support engineering and customers.

As an Applied Research Engineer at Sieve, you'll develop high-performance video understanding models and pipelines, focusing on innovative solutions in computer vision and audio processing domains.

As a Software Engineer at Sieve, you will build and scale data pipelines for video datasets, ensuring customer delivery of high-quality data. Responsibilities include sourcing data, developing ML filters, and improving system efficiency.

Design and engineer systems for ML and ETL pipelines for processing large video data, ensuring reliability and optimal performance.