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AI/ML Research Intern

DRW
🇨🇦MontréalStudentInternPosted July 13, 2026

About the Role

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 and could include solving forecasting problems or developing large language models (LLMs).

Key responsibilities include:

  • Designing and implementing large scale deep learning models for computer vision, reinforcement learning, graph neural networks or similar domains
  • Improving data and data pipelines
  • Time series forecasting
  • Applying deep learning methods to telemetry data

Requirements

  • 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
  • Good knowledge of deep learning tools and packages such as Tensorflow, Pytorch, Keras, scikit-learn
  • Experience programming in Python
  • Experience with scripting
  • Strong communication skills to advocate your ideas in a clear and concise manner to the team
  • Positive, team-oriented attitude
  • Following qualifications are a plus: Software best practices (agile, version control, experiment tracking, code review etc.)
  • Following qualifications are a plus: Publications in relevant conferences and journals

What You'll Get

  • Meaningful projects: you'll receive a challenging project to complete during your time here, advised by a software engineer
  • Community: throughout the summer, we host a variety of educational, social and team-building activities
  • Housing: DRW provides fully furnished apartments located close to the office
  • Mentorship: you'll build a professional relationship with an experienced mentor in your field, with mentor outings
  • Education: you will complete an options course framed from a developer's standpoint
  • Robust training program