Machine Learning Research Intern
- Design, implement and evaluate efficient deep neural network architectures and algorithms for d-Matrix's AI compute engine.
- Engage and collaborate with internal and external ML researchers to meet R&D goals.
- Engage and collaborate with Software team to meet stack development milestones.
- Conduct research to guide hardware design.
- Develop and maintain tools for high-level simulation and research.
- Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
- Report and present progress timely and effectively.
- Contribute to publications of papers and intellectual property.
- Pursuing Masters/PhD degree in Computer Science, Electrical and Computer Engineering, or a related scientific discipline.
- High proficiency with PyTorch is a must
- High proficiency in algorithm analysis, data structure, and Python programming is a must.
- Current knowledge in machine learning and modern deep learning.
- Hands-on experience with modern neural network architectures such as MoEs and Diffusion models.
- Knowledge and experience with efficient deep learning is preferred: quantization, sparsity, distillation.
- Strong publication records in top machine learning conferences or journals is preferred.
- Proficiency with C/C++ programming is preferred.
- Proficiency with GPU CUDA programming is preferred.
- Experience with AutoML and meta learning is preferred.
- Experience with numerical analysis preferred.
- Experience with specialized HW accelerator systems for deep neural network is preferred.
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