Acquire Me · 2 weeks ago
Machine Learning Performance Engineer - Quant Research & Trading
NYC Metro Area
Full-time
Onsite
Mid, Senior Level
$200K/yr - $350K/yrAcquire Me is a scientific led systematic trading firm seeking ML Performance Engineers to design, optimize, and deploy large-scale machine learning systems that directly impact trading performance. The role involves optimizing deep learning and LLM pipelines, collaborating with researchers, and enhancing performance of existing frameworks.
Staffing & Recruiting
Hiring Manager
Brett Levene
Responsibilities
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
Qualification
Required
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
Company
Acquire Me
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.
Founded in 2018
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Sanj Mahendran
Co-Founder
Company data provided by crunchbase