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 cooperative 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. #J-18808-Ljbffr

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