✨ About The Role
- The role involves designing and building systems for processing and transcoding large amounts of video.
- You will configure infrastructure like blob storage and CDNs for serving video efficiently.
- You will collaborate with researchers to optimize distributed loading of video for model training purposes.
- You will work with engineers and product managers to shape the product and technical roadmap of OpenAI's video capabilities.
- The job is based in San Francisco, CA, and involves a hybrid work model with a requirement to be in the office three days a week.
- You will help define the strategy and lay the foundations for all of OpenAI's future video efforts.
- The role requires you to be part of a team that is at the intersection of research and product development, focusing on video as a key capability of OpenAI's foundation models.
- You will be contributing to a team that ensures the reliability and safety of video models while expanding their capabilities and deploying them into the real world.
âš¡ Requirements
- You should have experience engineering large-scale systems that process and serve petabytes of video, such as building an on-demand streaming service or working on distributed video processing for model training.
- You need to have a deep understanding of various video formats and codecs, along with their strengths and weaknesses.
- You must be comfortable with ambiguity and rapidly changing conditions, as the team iterates on new product and research initiatives.
- You should have an intrinsic desire to learn and fill in missing skills, and be able to share knowledge clearly and concisely with others.
- You are expected to take initiative and demonstrate ownership over the systems you work on, contributing to the team's success.
- You should be able to create an inclusive culture that welcomes all individuals while challenging group-think.
- You are willing to relocate to San Francisco, CA, and work within a hybrid model, with 3 days in the office per week.