We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
We are seeking an exceptional ML Performance Engineer to optimise large-scale workloads across our GPU and CPU infrastructure.
This is a hands-on, impactful role. You will design and implement techniques that improve performance and capabilities of research workloads on cutting-edge compute infrastructure, ensuring our researchers and engineers can make the best use of current and future systems.
You will work directly with internal research teams and infrastructure engineers to profile and analyse workloads, eliminate bottlenecks and develop reference solutions.
Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation.
Key responsibilities of the role include:
The ideal candidate will have the following:
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Job details are sourced from the employer's original posting.
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G-Research tackles complex problems in quantitative finance by bringing scientific clarity to financial complexity. They unite world-class researchers and engineers in London to build a platform that amplifies powerful ideas.