Sr. Machine Learning Engineer, ML Models

As a Senior Machine Learning Engineer on the ML Models team at Tenstorrent, you’ll take the lead in bringing up and optimizing cutting edge AI models to run on our custom AI devices. You’ll experiment, optimize, and push boundaries while solving real world problems. If you love the craft of ML and want to work on models that are used in real world applications, you’ll feel right at home.

This role is hybrid, based out of Toronto, ON, with the opportunity to be remote on a candidate-by-candidate basis. 

• Confident with Python programming and hands-on experience with PyTorch for developing deep learning models.
• Driven by curiosity and a desire to experiment, always seeking to understand how complex systems work and how to make them better.
• Possess a deep understanding of ML model architectures, with the ability to optimize both individual components and overall model performance.
• Comfortable leading a small group of engineers and working closely with cross-functional teams.

• Hands-on experience bringing up state-of-the-art ML models on new hardware platforms.
• Strong debugging instincts to investigate performance issues, tune architectures, and boost model accuracy and robustness.
• Working knowledge of model optimization techniques, like quantization, flash attention, kernel fusing, and multi-device parallelization.
• A curiosity-driven mindset that stays current with ML research and brings practical insights to real-world engineering challenges.

• →How to get real ML models to fly on a custom AI accelerator
• →Ways to optimize ML model performance, from application to silicon level.
• →What it takes to go from research paper to production ready ML deployment
• →How to work alongside compiler, kernel, and hardware teams to drive new features, performance optimizations, and fixes.