Quant Blueprint LLC is seeking an engineer proficient in low-level systems programming and optimization to enhance our machine learning team. This role centers on optimizing model performance, both for training and real-time inference. Applicants should have experience with modern ML techniques, GPU knowledge, and debugging skills in CUDA.
The ideal candidate will thrive in a dynamic atmosphere with a collaborative mindset and strong problem-solving abilities. A solid understanding of networking technologies and collective algorithms is essential.
#J-18808-Ljbffr
Full job description from WhatJobs. Apply for this role →
London
Quant Blueprint LLC is seeking an engineer proficient in low-level systems programming and optimization to enhance our machine learning team.
London
We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team.
London
ML engineering internship building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with Python…
London
Full-time ML engineering role building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with…
London
Full-time ML engineering role building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with…
London
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost…
Worked with Verifera as a candidate or employer? Your honest review helps the next person trust verified hiring.