Borealis AI anticipates its 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 the team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, and CVPR. And you’ll be working with some of the brightest minds in AI.
Internship opportunities are available in the following areas:
- Deep Learning
- Unsupervised and Semi-supervised Learning
- Bayesian Optimization
- Privacy and Fairness
- Interpretability and Explainability
- AutoML
- Time Series Forecasting
- Natural Language Processing
- Computer Vision.
- Reinforcement Learning
- Graphs and Optimization
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.
Benefits of Borealis AI ML Research Internship
- 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.
- 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.
NOTE: The internship duration is 4 months from January – April 2024.
Requirements for Borealis AI ML Research Internship
You’re an ideal candidate if you have:
- Ability to implement state-of-the-art machine learning techniques
- High motivation to solve challenging research problems
- 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.
- 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
Application Deadline
September 4, 2023
How to Apply
Click HERE to apply
visit Borealis AI website For more details
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