We are excited to introduce the research interns and engineering co-ops for the Fall 2023 internship cycle. These students will collaborate with our research and engineering teams to develop innovative AI models and solutions to shape the financial sector.
We are devoted to supporting these students to enhance their education and advance their early research and engineering careers. Together, we will contribute to the growth of Canada’s AI ecosystem and talent pool.
Our Machine Learning Research Internship Program provides graduate students unique access to massive structured and unstructured datasets, tools, GPUs, and resources necessary to build game-changing statistical models. They will also have the chance to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, and CVPR. Meanwhile, our Engineering Co-op program allows students to participate in all project stages, from data pre-processing to implementing machine learning algorithms and front-end development.
"Our engineering co-op program gives students a chance to work on real machine-learning projects with some of the industry's best ML engineers and researchers. Throughout their work term, these students will gain valuable experience to grow their skills and network,"
John Nestor
Director, Engineering at Borealis AI
The research interns and engineering co-ops for the Fall 2023 internship cycle are a highly skilled group from various universities all over Canada. They have diverse educational backgrounds and areas of expertise, bringing with them their own distinct experiences and passions.
The Borealis AI Fall 2023 Machine Learning Researcher Interns are:
Leo Feng
🎓 University
Université de Montréal, Mila
📜 Degree Program
Département d’Informatique et de Recherche Opérationnelle; PhD
🔎 Research Topic
Meta-Learning and Uncertainty Estimation
Chandramouli Shama Sastry
🎓 University
Dalhousie University
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Generative Models and Robustness
Yi (Joshua) Ren
🎓 University
University of British Columbia
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Cognitive Science and Representation Learning
Ankit Vani
🎓 University
Université de Montréal, Mila
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Compositional Generalization, Self-supervised Learning, and Language Emergence
Hoang M. Le
🎓 University
York University
📜 Degree Program
Electrical Engineering and Computer Science; PhD
🔎 Research Topic
Computer Vision
Yimu Wang
🎓 University
University of Waterloo
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Multimodal Learning, Natural Language Processing, and Computer Vision
Hamed Shirzad
🎓 University
University of British Columbia
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Geometric Deep Learning, Bayesian Models, and Time Series
Wonho Bae
🎓 University
University of British Columbia
📜 Degree Program
Computer Science; PhD
🔎 Research Topic
Meta-Learning and Active Learning
Raihan Seraj
🎓 University
McGill University
📜 Degree Program
Electrical and Computer Engineering; PhD
🔎 Research Topic
Reinforcement Learning, Human in the Loop Systems, and Time Series Modelling
The Borealis AI Fall 2023 Engineering Co-op Interns are:
Aaran Arulraj
🎓 University
University of Waterloo
📜 Degree Program
Computer Science; BSc
Tommy Xu
🎓 University
University of British Columbia
📜 Degree Program
Computer Science and Statistics; BSc
Robin Yadav
🎓 University
University of British Columbia
📜 Degree Program
Computer Science and Mathematics; BSc
About Borealis AI’s ML Research Internships
Our focus is on contributing to an AI ecosystem of the future — a diverse and inclusive community whose work truly improves people’s lives. Borealis AI typically offers research internships across all its labs in Canada. At this time, our internship program is running in a hybrid work environment. Interns support research on a wide variety of theoretical and applied machine-learning projects.
If you are looking to expand your experience and enhance your university education by working on real-life business challenges with a fantastic team of people who will deeply care about your success and progress, we encourage you to apply for future cycles. Learn more about the program.
About Borealis AI
Borealis AI is an AI and Machine Learning Research Institute backed by the Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team members across its four labs in Canada.
Calling all Software Engineering Students!
Borealis AI has a popular engineering co-op program, which allows students to work closely with our teams and gain valuable experience to grow their skills and network. Apply for the Winter 2024 cycle by Sept 22, 2023.
Learn more