We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.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.The roleWe are seeking an exceptional ML Performance Engineer to optimise large-scale workloads across our GPU and CPU infrastructure.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.Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation.Profiling, benchmarking and tuning large-scale training and inference workloads for performance on distributed CPU, GPU and memory-intensive jobs.Developing reference implementations, libraries and tools to improve job efficiency and reliability.Influencing long-term platform and infrastructure decisions.Bachelors, Masters or PhD degree in computer science, or equivalent experience.Experience with Python.Strong background in data structures, algorithms, and parallel programming on heterogeneous systems.Deep understanding of Linux OS fundamentals, such as as scheduling, memory management, NUMA, networking, and filesystems.Familiarity with profiling and monitoring tools, such as nsys, ncu, eBPF-based tools, and performance counters.Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days' annual leave9% company pension contributionsInformal dress code and excellent work/life balanceComprehensive healthcare and life assuranceCycle-to-work schemeMonthly company eventsG-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. If you have a disability or special need that requires accommodation please let us know in the relevant sectionSummaryLocation: London, UKType: Full time
Machine Learning Engineer (Ethics) in London employer: G Research
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. Our commitment to employee growth is evident through mentorship opportunities, comprehensive healthcare, and a strong focus on work-life balance, all while fostering a culture that values diversity and collaboration. Join us to tackle complex challenges in cyber security and be part of a team that not only values your contributions but also invests in your future.
