Member of Technical Staff, Infrastructure

Sieve is an AI research lab focused on video data, developing datasets to enhance video modeling. The role involves designing and engineering systems for the compute, scheduling, and orchestration of complex ML and ETL pipelines, ensuring they run efficiently on large volumes of video data.

Responsibilities:

• Design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video
• Optimize for system uptime
• Work with cloud technologies and optimize hyper-fast distributed systems at the scale of thousands of GPUs
• Build great internal tooling and CI/CD for rapid iteration