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CAE

Provides high-fidelity flight simulators and training

Artificial Intelligence Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipMontreal, QC, CanadaNo salary listedIn-person

About the Job

Requirements

  • Currently enrolled in a relevant undergraduate or graduate program, such as Computer Science, Engineering, or Mathematics.
  • Have a strong understanding of fundamental artificial intelligence concepts and techniques.
  • Be proficient in programming languages such as Python, Java, or C++.
  • Have familiarity with machine learning frameworks such as TensorFlow or PyTorch; this is a plus.
  • Have problem-solving skills and attention to detail.
  • Have effective communication and teamwork abilities.

Responsibilities

  • Maintain, design, program, test, and document software and algorithms.
  • Analyze the behavior of artificial intelligence systems.

Desired Qualifications

  • Have familiarity with machine learning frameworks such as TensorFlow or PyTorch.

About the Company

CAE

Provides high-fidelity flight simulators and training

CAE provides training, simulation, and critical operations solutions for aviation and defense, creating high-fidelity flight simulators and comprehensive training programs for pilots, cabin crew, maintenance technicians, airlines, business aviation operators, and security personnel. Its products work by combining realistic simulators, advanced software, and hands-on instruction to reproduce real-world flight and operational scenarios in a safe, controlled environment, plus ongoing support for mission readiness. Compared with competitors, CAE operates at a global scale with about 13,000 employees across roughly 240 training locations in over 40 countries, a long history of experience, and a focus on embedding sustainability while delivering reliable, standards-aligned training. Its goal is to make the world safer by helping professionals perform at their best when the stakes are highest and to be a trusted partner for safety and mission readiness today and tomorrow.

Company size
10,001+
Company stage
IPO
Headquarters
Montreal, Canada
Founded
1947

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