Principal Machine Learning Research Scientist
| Company | d-Matrix |
|---|---|
| Location | Santa Clara, CA, USA, San Diego, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Ph.D in Computer Science, Electrical and Computer Engineering, or a related technical discipline with 3+ years of industry experience
- High proficiency with major deep learning frameworks: PyTorch is a must
- High proficiency in algorithm analysis, data structure, and Python programming is a must
Responsibilities
- 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 SW 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 properties
Preferred Qualifications
- Proficiency with C/C++ programming is preferred
- Proficiency with GPU CUDA programming is preferred
- Deep, wide and current knowledge in machine learning and modern deep learning is preferred
- Experience in real-world data science projects in an industry setting is preferred
- Experience with efficient deep learning is preferred: quantization, sparsity, distillation
- Experience with specialized HW accelerator systems for deep neural network is preferred
- Passionate about AI and thriving in a fast-paced and dynamic startup culture