Borealis AI 2024 Winter ML Research Internship

Internship opportunities are available in the following areas:

• Deep Learning;
• Reinforcement Learning;
• Graphs and Optimization;
• Unsupervised and Semi-supervised Learning;
• Bayesian Optimization;
• Privacy and Fairness;
• Interpretability and Explainability;
• AutoML;
• Time Series Forecasting;
• Natural Language Processing;
• Computer Vision.

• Table of Content
• About Borealis AI
• Borealis AI 2024 Winter ML Research Internship
• Aim and Benefits of Borealis AI 2024 Winter ML Research Internship
• Requirements for Borealis AI 2024 Winter ML Research Internship Qualification
• Interview date, Process and Venue for Borealis AI 2024 Winter ML Research Internship
• Application Deadline
• How to Apply

About Borealis AI

Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Vancouver, and Waterloo, we support open academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-... continue reading

Borealis AI 2024 Winter ML Research Internship

• Category Internship
• SponsorBorealis AI
• City to study Toronto
• School to study Borealis AI
• Course to study Not specified
• Application Deadline September 4, 2024

Aim and Benefits of Borealis AI 2024 Winter ML Research Internship

Borealis AI anticipates our internship programs to be in a hybrid work environment for the Winter 2024 term. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools 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.

Requirements for Borealis AI 2024 Winter ML Research Internship Qualification

You're our ideal candidate if you have:

• Ability to implement state-of-the-art machine learning techniques;
• High motivation to solve challenging research problems;
• Passion for data, algorithms, and statistics;
• Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
• Previous publications at a top-tier AI conference;
• Experience with writing modular, robust, scalable software in Python;
• Familiarity with the Unix command line and bash scripting;
• Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch;
• A deep understanding of machine learning algorithms and/or statistical modeling.

Interview date, Process and Venue for Borealis AI 2024 Winter ML Research Internship

Internship Duration:

• 4 months (January - April 2024)

Application Deadline

September 4, 2024

How to Apply

Interested and qualified? Go to Borealis AI on www.borealisai.com to apply

Interested and qualified? Go to Borealis AI to apply