Seeking curious minds.
At Borealis AI, we are committed to helping advance the next generation of AI experts. Apply your curiosity and expertise to a wide variety of theoretical and applied machine learning projects, with the support from our team and RBC.
Applications for the Fall 2023 internship cycle are now closed. 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 monitor our page and apply for the next cycle. For any questions or enquiries, please contact: mi.research@borealisai.com.
About Borealis AI
Borealis AI is an AI and Machine Learning Research Institute backed by 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.
About Borealis AI
Research Internship Program
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 programs 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 the Borealis AI Internship program.
Joining as an intern at Borealis AI will grant you unique access to massive structured and unstructured datasets, tools, GPUs, and resources necessary to build game-changing statistical models.
Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.
Mitacs Internship Program
Borealis AI has partnered with Mitacs to offer internships in a collaborative setting between our labs and a Canadian university. This program requires that both applicants and their academic advisors submit a proposal to Mitacs for peer review. As such, it is recommended that applicants initiate this process with Borealis AI at least 6 months before the intended internship start date.
Qualifications
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Ability to implement state-of-the-art machine learning techniques
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High motivation to solve challenging research problems
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Passion for data, algorithms, and statistics
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Previous publications at a top-tier AI conference
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Experience with writing modular, robust, scalable software in Python
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Familiarity with the Unix command line and bash scripting
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Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
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A deep understanding of machine learning algorithms and/or statistical modeling
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Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
Internship Duration
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4 months (September – December 2023).
Inclusion & Equal Opportunity
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RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
Applications are closed!
Applications for the Fall 2023 Internship cycle are closed. 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 monitor our page and apply for the next cycle. For any questions or enquiries, please contact: mi.research@borealisai.com.
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