Kyra Mozley
Senior Member Of Technical Staff at Runway
United Kingdom
Summary
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Senior🎓
Top SchoolKyra Mozley is a Senior Member of Technical Staff and machine learning engineer with a decade of experience building large-scale computer vision and dataset systems for products at Runway and Wayve. She specializes in multimodal perception, dataset engineering and simulation-to-reality work—using segmentation, depth, zero-shot classifiers and VLMs to structure fleet-scale corpora and enable targeted scenario discovery. Her background includes PhD-level research in deepfake detection and real-time network-attack models, giving her a strong foundation in security-minded, multi-modal ML. At Wayve she delivered practical production wins such as 6x faster depth inference and automated large-scale labeling pipelines, and at Runway she now focuses on pre-training dataset design and multimodal acceleration. Colleagues describe her as research-grounded but product-focused, with a track record of turning synthetic-data and geospatial techniques into measurable improvements in model evaluation and cost-efficiency.
10 years of coding experience
4 years of employment as a software developer
Postgraduate Researcher CDT for Cyber Security, Postgraduate Researcher CDT for Cyber Security at Royal Holloway, University of LondonComputer Science, Computer Science at University of CambridgeSt Marylebone Sixth FormSt Marylebone C of E
Github Skills (2)
react2
nodejs2
Programming languages (1)
Github contributions (5)
kyralmozley/ids
Mar 2020 - Jun 2021
Contributions:15 commits, 4 pushes in 1 year 3 months
kyralmozley/JavaWare
Jul 2019 - Aug 2019
Contributions:69 commits, 65 pushes, 2 branches in 1 month
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