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Acquire Me · 19 hours ago

ML Research Engineer - Quant Trading

NYC Metro Area

Full-time

Onsite

Mid Level

$200K/yr - $600K/yr

Acquire Me is a renowned quantitative trading firm specializing in deploying best-in-class programmatic models across global financial markets. They are seeking an ambitious ML Engineer to join their flagship research team, where the engineer will leverage the firm's cutting-edge platform to build scalable solutions that augment research capabilities and trading strategies.

Staffing & Recruiting

Hiring Manager

Raj M.

Responsibilities

Strong coding experience in Python, C++, or Rust, and expertise in writing production-grade, optimized code for ML training/inference

Demonstrable interest in HPC and ML Infrastructure, staying current with GPU/TPU architecture, parallel processing (CUDA/RoCM), and low-latency networking (InfiniBand/NVLink)

Familiarity with distributed training frameworks (e.g., PyTorch Distributed, Horovod) and parallelism techniques (e.g., sharding, DeepSpeed)

Experience with hardware resource management and monitoring (e.g., Slurm, KubeFlow, Prometheus) for managing large GPU/CPU clusters

Exceptional communication skills for technical and non-technical collaboration, especially for ML infra/hardware translation

Beneficial: Familiarity with ML model serving infra (e.g., Triton), low-level performance profiling (e.g., NVProf/NSight), or custom kernel optimization

Qualification

PythonC++RustHPCML InfrastructureDistributed training frameworksHardware resource managementML model serving infraPerformance profilingExceptional communication

Required

Strong coding experience in Python, C++, or Rust, and expertise in writing production-grade, optimized code for ML training/inference

Demonstrable interest in HPC and ML Infrastructure, staying current with GPU/TPU architecture, parallel processing (CUDA/RoCM), and low-latency networking (InfiniBand/NVLink)

Familiarity with distributed training frameworks (e.g., PyTorch Distributed, Horovod) and parallelism techniques (e.g., sharding, DeepSpeed)

Experience with hardware resource management and monitoring (e.g., Slurm, KubeFlow, Prometheus) for managing large GPU/CPU clusters

Exceptional communication skills for technical and non-technical collaboration, especially for ML infra/hardware translation

Preferred

Familiarity with ML model serving infra (e.g., Triton), low-level performance profiling (e.g., NVProf/NSight), or custom kernel optimization

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

City of London, England, GB

11-50 employees

http://www.acquireme.io

Funding

Current Stage

Early Stage

Leadership Team

Sanj Mahendran

Co-Founder

Company data provided by crunchbase