G-Research in London seeks an exceptional ML Performance Engineer to optimise large-scale workloads across GPU and CPU infrastructure. You will profile and tune training and inference jobs, develop reference implementations, and collaborate with research and platform teams to evolve the compute stack.
The role requires strong Python, CUDA, and PyTorch knowledge, plus experience with HPC schedulers and Kubernetes.
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ML Performance Engineer: Scale GPU/CPU ML Workloads 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.
