AI/ML Research Intern

DRW is recruiting for AI/ML Research Intern in Montreal. This listing was last seen on the firm's own job board on August 22, 2026.

A broad principal trading firm covering rates, energy, crypto, and real estate, so desk fit matters as much as the screen.

What sets DRW apart: Widest asset coverage of any firm on this list, including physical commodities. Desk assignment happens late, so you interview for the firm rather than a team. Serious crypto and digital assets business through Cumberland.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as DRW describes it, published on July 13, 2026 and reproduced from their job board:

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As an AI/ML Research Intern, you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. You will collaborate closely with other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include solving forecasting problems or developing large language models (LLMs). We are looking for individuals eager to learn new AI technologies, create innovative solutions, and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and…

How will you make an impact?

Designing and implementing large scale deep learning models for computer vision, reinforcement learning, graph neural networks or similar domain

Improving our data and data pipelines

Time series forecasting

Applying deep learning methods to telemetry data (sensor data and metrics collected from intelligent devices)

What do you bring to the team?

Are pursuing a master’s, or PhD (preferred) degree in a technical discipline focusing on machine learning, deep learning or NLP graduating between December 2027 and June 2028

Expertise in deep learning, machine learning and statistics

Demonstrated experience training large models