Machine Learning Engineering Intern (MS/PhD)
Core
Develop algorithms and optimization techniques to drive Performance, Power, and Area (PPA) on current and future ARM platforms by analyzing ML workloads and prototyping hardware-aware solutions.
Role type
Machine Learning Intern (MS/PhD)
Builds
Hardware-aware optimized neural network models and internal tooling for algorithmic exploration.
Domain
Hardware/Software co-design for Machine Learning on ARM architecture.
Deliverable
production ML models
Required skills
Machine learning, deep learning, neural network design, optimization, compression, computer architecture, Python, TensorFlow, PyTorch
Preferred skills
ML model design, HW-SW co-development methodology, PPA optimization for neural networks
Responsibilities
Develop in-depth understanding of ML workloads, conduct ML workload analysis, devise algorithms and prototyping on current platforms, develop internal tooling capabilities.
Seniority
Intern (Graduate Student)
