About the role#
As an AI/ML Research Intern, you will join a team of experienced technologists, quantitative researchers, and traders. You will work on complex problems in artificial intelligence and machine learning. Your projects will depend on current business priorities and may include time series forecasting or the development of large language models. You will receive mentorship from industry experts and participate in a training program to support your professional growth.
What you'll do#
- Design and implement large-scale deep learning models.
- Improve data quality and maintain data pipelines.
- Forecast time series data.
- Apply deep learning methods to telemetry data.
- Complete a significant project under the guidance of a mentor.
What you'll need#
- Currently pursuing a master's or PhD in a technical discipline focused on machine learning, deep learning, or natural language processing.
- Expertise in deep learning, machine learning, and statistics.
- Experience training large models.
- Proficiency with deep learning tools and packages such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Experience with Python programming and scripting.
- Strong communication skills to present ideas clearly to the team.
- A collaborative, team-oriented mindset.
Location & details#
- Location: Montréal, Canada.
- Term: Summer 2026.
- Modality: On-site.
- This is a paid, full-time internship.
- DRW provides fully furnished housing near the office for the duration of the internship.
About DRW
DRW is a financial services firm that trades and invests across various asset classes and global markets. The company relies on technology, research, and risk management to identify trading opportunities. It maintains a presence in multiple international locations with its headquarters in Chicago. The firm employs approximately 2,500 people.
How to get in at DRW
Applying early for a position at DRW is a significant advantage, as recruiters often fill roles before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can be among the first to submit your materials and ensure your application is seen before the pile grows. You should aim to reach out to the hiring team directly to ask about the role or a potential referral, as this personal touch materially improves response rates. Intern Insider surfaces the recruiters behind the company's roles to help you make those connections. It is a more effective strategy than waiting for a response from a generic portal.
