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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
Summary
- Application DeadlineSeptember 4, 2024
- Study LevelInternship
- SponsorBorealis AI
- City to studyToronto
- School to studyBorealis AI
Benefits
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
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 Dates and Process
Internship Duration:
- 4 months (January - April 2024)
Application Deadline
September 4, 2024How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Borealis AI on www.borealisai.com to apply
Interested and qualified? Go to Borealis AI to apply