AI Lab - Research

What you'll do

• Design, train, and evaluate ML models, including LLMs and foundation models, for production trading systems.
• Develop research hypotheses and rigorous experiments, applying ML to large-scale financial time-series and unstructured data.
• Implement research ideas and build research tooling, including agentic and automated workflows; train models using GPU and distributed computing as needed.

What they ask for

• Strong foundations in machine learning, statistics, optimization, and experimental design.
• Ability to conduct independent ML research from hypothesis development through implementation, experimentation, and evaluation.
• Deep understanding of modern deep learning architectures, particularly transformers, foundation models, sequence models, and/or state-space models.
• Strong programming skills, particularly Python, and experience with PyTorch or JAX and GPU-based model training and evaluation.

Nice to have

• Experience developing and training large-scale foundation models or LLMs, or in sequence/time-series modeling, reinforcement learning, or related areas.
• Experience in quantitative research or financial markets, distributed training, CUDA, Triton, custom kernels, or automated research methodologies.

Pay

$200,000 — $200,000 USD base salary

Tools

Python, PyTorch, JAX, GPU, CUDA, Triton, Mamba, RWKV

AI focus

Research and develop ML models and methods, including LLMs and foundation models, for quantitative modeling and production trading; build agentic and automated research workflows.