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Posted:
June 06, 2026
Location:
toronto, on, Canada
Job Description
Join Tenstorrent as a Machine Learning Engineer and help develop leading-edge AI models. This hybrid position focuses on optimizing ML performance across custom hardware platforms in diverse locations including Toronto, Austin, and Santa Clara.
In this role on the AI Models team, you will utilize Python and PyTorch to enhance ML models for real-world applications. You'll be at the forefront of AI technology, experimenting and solving complex challenges while leading small engineering teams. The position promises exciting opportunities to turn theoretical research into practical, high-performance ML implementations.
Key Responsibilities:
• Bring advanced ML models to life on new platforms
• Collaborate with engineers on model and system optimization
• Resolve performance issues to improve model robustness
• Apply knowledge of ML optimization techniques
• Drive continuous improvement through experimentation
Requirements...
In this role on the AI Models team, you will utilize Python and PyTorch to enhance ML models for real-world applications. You'll be at the forefront of AI technology, experimenting and solving complex challenges while leading small engineering teams. The position promises exciting opportunities to turn theoretical research into practical, high-performance ML implementations.
Key Responsibilities:
• Bring advanced ML models to life on new platforms
• Collaborate with engineers on model and system optimization
• Resolve performance issues to improve model robustness
• Apply knowledge of ML optimization techniques
• Drive continuous improvement through experimentation
Requirements...
Apply for this Job
Submit your application for the Machine Learning Engineer for AI Models position at Tenstorrent.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 06, 2026
Deadline:
July 16, 2026