AI/ML Research Intern

Trading Interview; Montreal (administrative region); On-site; CAD 30,000 - 41,000; Part time

Benefits offered by this job

Housing near office

Mentorship program

Training and education

Job summary

DRW is seeking an AI/ML Research Intern to join a high-caliber team of technologists, researchers and traders. You will work on challenging AI problems, including forecasting and developing large language models, under mentorship and a structured training program.

You will contribute to end-to-end projects, learning to select tools wisely and deliver impactful solutions that influence business decisions in a fast-paced trading environment.

Qualifications

• Pursuing a master’s or PhD in ML/NLP with graduation between Dec 2027 and Jun 2028.
• Expertise in deep learning, ML and statistics.
• Demonstrated experience training large models.
• Proficient with TensorFlow, PyTorch, Keras, scikit-learn.
• Proficient in Python; comfortable with scripting.
• Strong communication and team collaboration skills.

Responsibilities

• Design and implement large-scale deep learning models for CV, RL, graphs or similar.
• Improve data and data pipelines; develop forecasting capabilities.
• Apply DL methods to telemetry data and sensor metrics.
• Collaborate with researchers, engineers and traders to translate findings into business impact.

Skills

Deep learning

Machine learning

NLP

Python

Communication

Education

Master’s or PhD in a technical discipline (ML/NLP)

Tools

TensorFlow

PyTorch

Keras

scikit-learn

Job description

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

As anAI/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 attend a robust training program to ensure your success at DRW.

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
• 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.)
• Publications in relevant conferences and journals

What to expect during the internship…

• Meaningful projects:You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience.
• Community:Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie.
• Housing:DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible.
• Mentorship:You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings.
• Education:As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.

DRWis a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice .

DRW is a team of innovative and ambitious individuals who use the power of free markets to solve challenging problems, capture opportunities, and pursue positive change. In 1992, the founder…