Apply Python, machine learning, and deep learning skills as a Boson AI MScAC research intern in Toronto on a hybrid schedule.

This eight-month applied research internship is exclusively for University of Toronto MScAC students, starting May 2027, with earlier start possible. Work with a Boson AI mentor on speech, audio, video, computer vision, agents, reinforcement learning, or machine learning systems. Projects feed directly into Higgs models and products, including Higgs Realtime, Higgs TTS 3, and Higgs Avatar. Careful experimentation, honest reporting, and hands-on PyTorch or JAX experience are expected.

Key Responsibilities:
Build audio collection, segmentation, transcription, and annotation pipelines
Design benchmarks and automatic metrics for speech and voice agents
Develop video generation, computer vision, or multimodal model systems




Optimize training and inference across GPUs using systems techniques
Research conversational agents, reinforcement learning, or full-duplex interaction

Requirements:
Enrollment in University of Toronto MScAC program is mandatory
Robust Python programming skills required for all projects
Machine learning and deep learning foundations with PyTorch or JAX
Careful experimental practice measuring and reporting results honestly
Availability for the full eight-month hybrid Toronto internship

Develop applied AI research for Boson AI through speech, video, agents, and effective machine learning systems.

📌 Mscac Applied Ai Research Intern Toronto (Canada)
🏢 Boson
📍 Canada