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AI/ML Research Intern

Offre en anglais

Design and implement large-scale deep learning models for domains such as computer vision and reinforcement learning. Improve data pipelines and apply deep learning methods to telemetry and time series forecasting data.

  • Sur place
  • Montréal, QC
  • Publié 19 août 2026
  • 1 poste

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Résumé du poste

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 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. DRW is 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. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. #LI-SB1

Ce que vous ferez

Design and implement large-scale deep learning models for domains such as computer vision and reinforcement learning. Improve data pipelines and apply deep learning methods to telemetry and time series forecasting data.

Exigences

Pursuing a Master's or PhD in a technical discipline focusing on ML, DL, or NLP with a graduation date between December 2027 and June 2028. Requires expertise in deep learning tools like PyTorch or TensorFlow and proficiency in Python programming.

Avantages

• Fully Furnished Apartments • Mentorship Program • Training Program • Educational and Social Activities

Compétences indiquées

  • Apprentissage automatiqueSouhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Deep Learning
  • Machine Learning
  • Statistics
  • Python
  • Tensorflow
  • Pytorch
  • Keras
  • Scikit-learn
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Graph Neural Networks
  • Time Series Forecasting
  • Scripting
  • Communication Skills
  • Data Pipelines

Domaines d’emploi

  • Science & Research
  • Technology
  • Data & Analytics
  • Software
  • Finance & Accounting

Renseignements supplémentaires

Formation minimale
Maîtrise
Expérience minimale
0+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine