{"schemaVersion":"jobsearcher.job.v1","id":"4e3a509260e99e2c8bd0f5a4","url":"https://jobsearcher.com/jobs/4e3a509260e99e2c8bd0f5a4","canonicalUrl":"https://jobsearcher.com/jobs/4e3a509260e99e2c8bd0f5a4","title":"Machine Learning Performance Engineer - Quant Research & Trading","description":"We’re looking for ML Performance Engineers to join a scientific led systematic trading firm to design, optimize, and deploy large-scale machine learning systems that directly impact trading performance. You’ll optimize large-scale deep learning and LLM pipelines, turning cutting-edge research into measurable P&L impact.Day to Day: Build and optimize large-scale ML training & inference pipelinesEnhance deep learning frameworks (PyTorch, JAX, TensorFlow) for performanceDebug GPU, memory, and distributed training bottlenecksCollaborate with researchers to deploy models in live trading systemsWhat We’re Looking For:Strong ML fundamentals (transformers, LLMs, attention, RLHF)Deep GPU expertise (CUDA, Tensor Cores, warp-level ops)Proficiency in Python & C++Knowledge of deep-learning frameworks like PyTorch, JAXGPU Libraries and tools – Triton, CUB, CuDNN, cuBLASWhy Join: Work with world-class researchers solving some of finance’s hardest problems with extensive room to push boundaries. Expect technical depth, real-world impact, and a culture that prizes curiosity, rigor, and speed.Apply or get in touch for more info!","company":"Acquire Me","rawCompany":"acquire me","city":"None","isRemote":false,"isActive":true,"createdAt":"2026-10-15T02:16:06.387Z","occupations":[{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Performance Engineer - Quant Research & Trading","description":"We’re looking for ML Performance Engineers to join a scientific led systematic trading firm to design, optimize, and deploy large-scale machine learning systems that directly impact trading performance. You’ll optimize large-scale deep learning and LLM pipelines, turning cutting-edge research into measurable P&L impact.Day to Day: Build and optimize large-scale ML training & inference pipelinesEnhance deep learning frameworks (PyTorch, JAX, TensorFlow) for performanceDebug GPU, memory, and distributed training bottlenecksCollaborate with researchers to deploy models in live trading systemsWhat We’re Looking For:Strong ML fundamentals (transformers, LLMs, attention, RLHF)Deep GPU expertise (CUDA, Tensor Cores, warp-level ops)Proficiency in Python & C++Knowledge of deep-learning frameworks like PyTorch, JAXGPU Libraries and tools – Triton, CUB, CuDNN, cuBLASWhy Join: Work with world-class researchers solving some of finance’s hardest problems with extensive room to push boundaries. Expect technical depth, real-world impact, and a culture that prizes curiosity, rigor, and speed.Apply or get in touch for more info!","datePosted":"2026-10-15T02:16:06.387Z","dateModified":"2026-10-15T02:16:06.387Z","hiringOrganization":{"@type":"Organization","name":"Acquire Me","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"None","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e3a509260e99e2c8bd0f5a4"},"url":"https://jobsearcher.com/jobs/4e3a509260e99e2c8bd0f5a4"}}