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 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.
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