BeroAI Student Intern
Application Period: April 22, 2024 - Sept. 1, 2024
We are no longer accepting applications for this position.
Nous n'acceptons plus les candidatures pour ce poste.
Contact: internshipofficer.cs@mcgill.ca
BeroAI Internship Position
For information about BeroAI, please visit them at beroai.ca.
Details
- Start date: June 3, 2024
- End date: TBD (September/October)
- Location: Montreal
- Salary: Based on experience
Focus
Creating Multimodal AI to understand canine emotions and actions using Audio, Video, IMU, Text, and more.
Opportunities at BeroAI
- Crafting Audio Encoders for speech and dog sound analysis, including noise reduction.
- Developing Video Encoders for object detection.
- Implementing IMU Encoders to interpret dog movements.
- Training and assessing our Multimodal LLM.
Intern Learning Outcomes
- Comprehensive skills in data preprocessing for multiple modalities.
- Encoder development and fine-tuning proficiency.
- Deep dive into AI architecture and advanced Multimodal LLM training techniques.
Prerequisites
- Proficiency in Python.
- A foundational grasp of Multimodal LLM principles, such as those outlined in works like ImageBind.
Preferred Skills
- Prior experience in Audio/IMU data handling.
- Familiarity with LLM fine-tuning processes.
To apply
If you are a McGill student, please send your resume and cover letter to internshipofficer.cs@mcgill.ca.
