Join Tenstorrent as a Machine Learning Engineer to shape the future of AI. This hybrid role focuses on LLM training and optimization using advanced deep learning techniques.Tenstorrent seeks a skilled Machine Learning Engineer passionate about leveraging cutting-edge AI technology. You will work in a collaborative workplace with diverse technologists to deploy high-performance AI models.

Your expertise in Python, PyTorch, and ML architectures will contribute to optimizing large-scale AI systems for production readiness.Key Responsibilities:

- Lead R&D; for LLM training and inference optimization
- Train state-of-the-art AI models on Tenstorrent hardware
- Utilize speculative decoding and quantization techniques
- Identify system bottlenecks and enhance performance
- Convert ML research into scalable solutionsRequirements:
- 4+ years in ML research or LLM development
- Proficiency in Python and PyTorch
- In-depth understanding of ML architectures
- PhD or published research is highly valued
- Hands-on experience with large-scale model trainingBring your AI expertise to Tenstorrent and help redefine performance expectations in machine learning.

📌 Machine Learning Engineer At Tenstorrent (Toronto)
🏢 Tenstorrent
📍 Toronto