AI Research Engineer (Deep Learning)

Location: Must be based in Chicago or New York

Salary: $300,000 per year

Company

A global quantitative trading firm focused on world-class research, advanced technology, and data-driven market analysis.

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 where latency is critical.
• Develop large-scale ML systems using C, C++, Python, and CUDA.
• Improve research productivity by reducing iteration cycle times.

Requirements

• Strong publication record at major AI conferences (ICML, ICLR, NeurIPS, etc.) or significant open-source contributions.
• Solid background in modern deep learning techniques and language modeling architectures.
• Proficiency in Python and/or C++.
• Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.
• Ability to reason through quantitative problems and communicate effectively with research teams.
• Must be eligible to work in the US (sponsorship available for full-time positions).

Nice to have

• Experience with HPC and distributed large model training.
• Expertise in GPU performance optimization (CUDA or ROCm).
• Experience with end-to-end model development.
• Strong opinions on best practices in ML research and infrastructure.

Culture & Benefits

• Collaborative, team-oriented environment focused on intellectual honesty and innovation.
• Opportunity to work on cutting-edge research with direct impact on global markets.
• Visa sponsorship provided for eligible candidates.
• Competitive compensation package in a high-performance culture.