Senior Research Engineer, Synthesia

• Background in Computer Science, Computer Vision, or Audio ML
• Experience working in deep learning teams and production environments
• Strong Python skills and a passion for clean, maintainable code
• Hands-on experience with workflow orchestration (we use Kubeflow and Spark)
• Interest in large-scale, non-tabular data (video, audio, images)

Desirable

• The Data team owns the entire lifecycle of data for researchers. From sourcing, to processing and storage. They provide the data bundles required for the research teams to train their model at scale
• As part of the Data team, you'll be working with over a million hours of video and audio data
• You'll be scaling open-source models, building systems that enable us to efficiently query data in our lake, and optimise deep learning pipelines in production
• This isn't a classic data engineering role; it's more of a hybrid between ML infra and research engineering, owning pipelines that directly impact cutting-edge AI research and enabling our entire R&D department to conduct their work more efficiently
• The nature of audio and video data brings unique challenges
• Your work will enable us to better overcome edge case videos (such as those with large resolutions, or long durations) and more effectively identify the useful elements of a video, from one person in frame through to the emotional performance