Opportunity 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...
Interested in this opportunity? Apply now through Expertini.
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