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Machine Learning Performance Engineer - Quant Research & Trading

Machine Learning Performance Engineer - Quant Research & Trading

Hybrid

New york city, United states

$ 350,000 /year

Full Time

25-11-2025

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Skills

Python Research Training Machine Learning PyTorch TensorFlow Deep Learning C++

Job Specifications

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 pipelines
Enhance deep learning frameworks (PyTorch, JAX, TensorFlow) for performance
Debug GPU, memory, and distributed training bottlenecks
Collaborate with researchers to deploy models in live trading systems

What 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, JAX
GPU Libraries and tools – Triton, CUB, CuDNN, cuBLAS

Why 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!

About the Company

We are a specialist technology recruiting firm dedicated to connecting the brightest and best STEM talent into the most exciting opportunities across the world’s most renowned scientific-led quantitative hedge funds, proprietary trading firms and high-growth start-ups. As an organisation, we seek to combine our 20+ years of human expertise in tech recruiting best practice alongside a data-led research-driven methodology to unearth, connect and engage with the most exceptional calibre of technology talent across the industry.... Know more