AI Engineer (Edge inference) - (100% Remote)

May 18

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Bringing real world currency to the blockchain.

Bitcoin • Fiat Currency • Software • Decentralized Systems • Crypto Currency

11 - 50

Description

• Build AI solutions from large-scale models to smaller, efficient models for edge devices. • Deploy machine learning models to edge devices using frameworks like TVM, MLC, and IREE (MLIR). • Collaborate with researchers to transition models from research to production environments. • Integrate AI features into existing products. • Contribute to the goal of building the next generation of AI models leading innovation in AI. • Join a dynamic team operating globally and aiming for technological advancement and broad accessibility.

Requirements

• Excellent programming skills in Python, C and C++. • Experience with platforms such as TVM, MLC, and IREE (MLIR). • Experience in NLP, computer vision, TensorFlow, PyTorch, JAX and CUDA toolkit. • Experience with different aspects of Large Language Models (LLMs), such as fine-tuning techniques to tailor models to specific tasks and prompt engineering. • Extensive experience in training models using multi-GPU setups. • Demonstrated ability to rapidly assimilate new technologies and techniques. • A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.