Applications Open for Borealis AI ML Research Internship 2024

Filed in Internships by on August 1, 2023 0 Comments

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;
  • 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.


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;
  • 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.

How To Apply

The application deadline is September 4, 2023. The internship duration is 4 months from January – April 2024.

Click Here To Apply

For more information, visit ML Research Internship.

Application Deadline: September 4, 2023

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