Internship Machine Learning Engineer - Trebble Summer 2024

Application Period: April 22, 2024 - April 26, 2024

We are no longer accepting applications for this position.

Nous n'acceptons plus les candidatures pour ce poste.


Internship Machine Learning Engineer - Trebble Summer 2024

For information about BeroAI, please visit them at

Company Overview:

Trebble is an innovative online platform designed to simplify the audio editing process through advanced AI technology. It allows users to record, upload, and transcribe audio or video, enabling easy, text-based editing. With features like AI-powered speech enhancements, automatic removal of filler words, and access to a library of royalty-free music and sound effects, Trebble is tailored for everyday users. Whether for podcasts, audiobooks, or online courses, Trebble streamlines audio editing with intuitive tools and a user-friendly interface. Our mission is to automate and customize the editing process, making high-quality audio production accessible to everyone.

Internship Overview:

We invite a driven student to join our team for a pivotal project aimed at automating and enhancing the media editing process. This internship offers a unique opportunity to develop AI solutions that detect and correct disfluencies, outliers, and rambling in multi-language content, significantly reducing manual editing time and improving content quality.

Key Responsibilities:

  • Develop AI algorithms to detect disfluencies, outliers, and rambling across multiple languages, enhancing editing efficiency.
  • Integrate these AI solutions into our existing platform, ensuring seamless user experiences and real-time editing capabilities.
  • Collaborate with the engineering team to benchmark and optimize the performance of the AI solutions against diverse datasets.
  • Provide innovative ideas for automating other aspects of the audio editing process, contributing to the continuous improvement of our platform.


  • Enrolled in a program in Computer Science, AI, or a related field at McGill University.
  • Proficient in Python and familiar with TensorFlow or PyTorch.
  • Experience with NLP and LLMs; speech synthesis experience is a plus.
  • Background in speech synthesis or similar speech-related machine learning tasks is a strong plus.
  • JavaScript skills are advantageous.
  • Experienced with multilingual content and AWS technologies.
  • Strong analytical, communication, and problem-solving skills.
  • Fluent in English; additional languages are beneficial.


  • Work on groundbreaking AI technology in a dynamic, innovative team environment.
  • Remote work flexibility.
  • Potential for a full-time role with equity based on performance.

To apply

If you are a McGill student, please send your resume and cover letter to