Hear from Austin, Analytics Services Principal Engineer, about how we optimised Kafka producer performance to handle high-latency network links while maintaining high throughput.
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“I joined G-Research in 2021, as a Quantitative Researcher in the NLP team, after completing my PhD in Natural Language Generation at Sorbonne Université.
“My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on.
“Where it improves on my PhD is the fact that I don’t work in isolation. I can share ideas with other quants, engineers and data scientists, I get access to very interesting datasets and a lot of compute to help me deliver on my ideas.”
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"What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with Engineers and other Quantitative Researchers."
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Latest News
In this NeurIPS paper review series, Julian, Quantitative Researcher, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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In this NeurIPS paper review series, Andrew, Quant Research Manager, shares his perspectives on the most exciting research presented at the conference, providing a comprehensive look at the newest trends and innovations shaping the future of ML.
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