Despite rapid development in generative AI, quality measurement remains challenging due to the lack of reliable and robust technical metrics. This is especially the case when the slight differences in the details generated by the model could have a significant impact on user experience. In this team, we are developing a series of manual (human rating), semi-automatic, and fully automatic evaluations to measure the quality of our image and video generative models (text to image, image to video, text to video, etc.) in a variety of quality axis, including visual quality, prompt following, identity preservation, naturalness, and visual text generation and so on. To this end, we require the support of 10 additional data analysts, 5 for image in Menlo Park, (CA) to work closely with the team to prototype and iterate on the measurements before they are scaled up.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
Number of Employees
5,001-10,000 employees