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An innovative firm is seeking a talented individual to manage high-quality datasets for machine learning. This role involves engaging with stakeholders to gather dataset requirements, coordinating data collection efforts, and building dashboards to monitor data quality. The ideal candidate will write efficient software in Python and work within an Agile development team. With a focus on professional growth and a flexible work environment, this opportunity is perfect for those passionate about technology and data management, aiming to contribute to a safer world through innovative solutions.
Help collect, curate, ingest and manage high quality datasets that can be used to train and validate machine learning models.
Engage with different stakeholders to collect dataset requirements (scenarios, poses, ground truth, dataset distribution, etc) and create recording catalogs that can be shared with data collection teams.
Coordinate data collection campaigns with internal and external data collection teams.
Build dashboards to monitor datasets and annotations and their distribution according to various diversity metrics.
Use available state-of-the-art machine learning methods to generate automatic ground truth and automatic metadata tags.
Expand our web-based data management tools to enable convenient inspection of video data and annotations to identify corner cases and incorrect predictions.
Write high quality, well tested and efficient software in Python.
Work in an Agile SW development team (SCRUM).