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 team-oriented environment 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 solutions

Requirements:

- 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 training

Bring your AI expertise to Tenstorrent and help redefine performance expectations in machine learning.

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