Machine Learning Performance Engineer
2 days ago
Oxford Knight is a world-leading prop trading fund with offices across the globe, and we're looking for an experienced engineer with low-level systems programming and optimization expertise to join our growing ML team.
About the RoleAs a Machine Learning Performance Engineer, you will be responsible for optimizing the performance of our models, both training and inference. This will involve improving straightforward CUDA, but also requires a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations.
Requirements- Strong understanding of modern ML techniques and toolsets, with a focus on performance
- Systems knowledge and experience required to debug a training run's performance end to end
- Low-level GPU and compute cluster knowledge, including CUDA or other types of GPU programming
- Debugging/optimization tooling experience, such as CUDA GDB, NSight Systems, and NSight Compute
- Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
- Market-leading salaries
- Generous benefits package, including physical and mental health benefits, excellent holiday entitlement, significant parental leave, retirement benefits, and private on-site gym
- Focus on learning and development with tuition reimbursement
- Recreation spaces with breakfast, lunch, snacks, and treats
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