Campus ML Research Engineer (AI)

TL;DR

Campus ML Research Engineer (AI): Designing and deploying state-of-the-art machine learning systems for global financial markets with an accent on high-performance computing and low-latency inference. Focus on optimizing training pipelines, integrating complex models into production, and advancing ML research capabilities within a high-frequency trading environment.

Location: Must be based in Chicago or New York

Salary: $250,000–$300,000 USD

Company

A premier quantitative trading firm applying cutting-edge research and technology to solve complex problems in global financial markets.

What you will do

• Apply state-of-the-art machine learning techniques to complex financial domains.
• Collaborate with researchers and quants to build flexible, reusable frameworks for financial ML.
• Optimize training pipelines to maximize the efficiency of HPC resources.
• Integrate ML models into production systems with critical low-latency requirements.
• Develop large-scale, observable, and performant ML systems.

Requirements

• Proficiency in Python and/or C++
• Deep expertise in GPU or Accelerator programming (e.g., CUDA, Triton, SYCL, ROCm)
• Proficiency in DL libraries such as Pytorch, JAX, or Tensorflow
• Experience building large-scale ML systems with high throughput or low latency requirements
• Excellent written and verbal communication skills in English
• Ability to thrive in a collaborative, team-oriented environment

Nice to have

• Experience working with massive training datasets (hundreds of terabytes)
• Background in solving complex problems in quantitative finance or similar domains

Culture & Benefits

• Discretionary bonus eligibility
• Comprehensive medical, dental, and vision insurance
• Retirement plan with employer match
• HSA, FSA, and dependent care options
• Paid parental leave and wellness programs
• Paid vacation and holidays