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.

Build and own Sieve's partnerships function: identify, outreach, negotiate, close, and manage long-term deals with content platforms and streaming services; create processes, pipeline, and success metrics.

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

The Business Operations Associate will provide administrative support, manage events, and handle daily operations to ensure smooth company functioning.

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.