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.
- Category: Internship
- Amount/value: Varies
- Location: Worldwide
- Application deadline: 4 September 2023
Eligibility
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.
Benefits
- 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.
Application
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