United States onlyAt d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.
Requirements
- Pursuing Masters/PhD degree in Computer Science, Electrical and Computer Engineering, or a related scientific discipline.
- High proficiency with PyTorch
- High proficiency in algorithm analysis, data structure, and Python programming
- 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
Benefits
- Equal Opportunity Employment Policy
AU and US only
