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 setting 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