James Cobon-kerr
Research Scientist at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJames Cobon-Kerr is a research scientist with a decade of experience focused on scaling reinforcement learning systems, currently at Google DeepMind after a stint building RL infrastructure at Microsoft AI. He played roles on projects tied to Gemini and Sparrow at DeepMind, blending research rigour with production-minded engineering. Comfortable at the intersection of large-scale model deployment and experiment-driven algorithm development, he moves models from prototypes to robust, scalable services. His background includes honours in computer science and a graduate certificate from UNSW, reflecting strong academic foundations paired with hands-on industry impact. Based in Mountain View, he maintains a public technical presence at jamescobonkerr.com and has a history of embedding research insights into product-quality code. Colleagues describe him as the kind of engineer who translates cutting-edge RL ideas into operational systems that run reliably in real-world settings.
10 years of coding experience
Bachelor of Computer Science (Hons 1), Bachelor of Computer Science (Hons 1) at University of NewcastleUNSW Sydney
Github Skills (17)
python10
data-science10
pandas10
data-structure10
data-structures10
data-analysis10
sqlalchemy9
sql6
database5
genetic-algorithm5
restful-api2
rest2
neural-network1
computer-vision1
data-visualization1
Programming languages (4)
Github contributions (5)
IAmNiloy/scp-genetic-algorithm
Aug 2017 - Jan 2019
Implementation of the genetic algorithm used by Beasley and Chu (1997) to find solutions to the set covering problem
Contributions:12 commits in 1 year 4 months
genetic-algorithm
jamescobonkerr/interview-preparation
Aug 2017 - Sep 2019
Contributions:79 pushes, 3 branches in 2 years 1 month
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