Machine Learning Engineer - PyTorch, AMD GPU Acceleration

November 22

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TensorWave

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11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Description

• Contribute to open-source deep learning libraries like PyTorch, advocating for and implementing ROCm support and enhancements. • Develop in-house frameworks and tools that simplify and streamline model fine-tuning and training for our customers. • Debug and identify compatibility issues with libraries, and collaborate with internal and external teams to resolve them. • Design and develop optimization strategies to accelerate fine-tuning and training of deep learning models on AMD GPUs. • Conduct in-depth research and performance analysis to identify and address bottlenecks in the AMD GPU acceleration pipeline. • Stay at the forefront of advancements in deep learning, GPU acceleration, and model optimization techniques, particularly those related to ROCm and AMD hardware.

Requirements

• Equivalent of a Bachelor's Degree in Computer Science, Artificial Intelligence, or a related field. • 3+ years of hands-on experience with PyTorch training and fine-tuning deep learning models. • Strong understanding of GPU architecture, memory management, and optimization techniques. • Proficiency in Python and C/C++ for implementing high-performance deep learning models. • Extensive experience with LLM / transformer architecture and a deep understanding of its internals. • Experience with GPU kernel development (CUDA or ROCm) for deep learning applications. • Excellent communication and collaboration skills, with the ability to effectively engage with both technical and non-technical audiences.

Benefits

• Stock Options • 100% paid Medical, Dental and Vision Benefits for employees • Life and Voluntary supplemental life insurance • Short-term disability insurance • Flexible Spending Account • 401(k) • Flexible PTO • Paid Holidays • Parental Leave • Mental Health Benefits through Spring Health