Jessica Yung is a research engineer at DeepMind with 11 years of experience blending machine learning research, engineering and product-oriented work across top labs and industry. She helped develop and open-source impactful computer vision models and datasets at Google Brain (co-authoring BiT and MLP-Mixer and releasing SI-SCORE), and now applies that expertise to scalable research engineering at DeepMind. Her background spans startups and founding roles—co-founding CQ2 to automate vulnerability patching and creating Hello Motions, a high-traffic debating motions platform—demonstrating an ability to ship production systems from prototype to users. She also scouts for early-stage founders at Backed VC, bringing technical discernment to venture sourcing and community building. Trained at Cambridge and UCL with nanodegrees in ML and self-driving systems, she combines rigorous academic grounding with hands-on ML engineering across cloud and production stacks. Colleagues would note her unusual mix of research depth, product intuition and a track record of open-source releases that advance model robustness and transfer learning.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Engineering, Bachelor of Arts - BA Engineering at University of Cambridge
Self-Driving Car Engineer Nanodegree Deep Learning, Self-Driving Car Engineer Nanodegree Deep Learning at Udacity
Search for debating motions by keyword, category or Chief Adjudicator. A Laravel web app.
Contributions:64 commits, 84 pushes, 1 comment in 4 years
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