PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience writing machine learning code, prototyping with machine learning models, and working with transformer as well as transformer alternatives like SSMs and modern RNNs models.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Publications record in neural networks, machine learning, neural network accelerator, neuromorphic hardware or (computational) neuroscience.
Preferred qualifications:
Experience writing ML code, serving large ML models, and serving large-scale models.
Experience in writing high profile scientific publications at conference (NeurIPS, Nature).
Experience in neural network theory, neuromorphic hardware, and/or computational neuroscience.
Experience in hardware aware design of neural networks/neuromorphic hardware.