Bachelor's degree or equivalent practical experience.
4 years of experience with big data and machine learning frameworks such as TensorFlow, JAX, PyTorch, or scikit-learn.
Experience with building machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
Experience delivering technical presentations.
Preferred qualifications:
Master's degree in Computer Science, or a related technical field.
Experience designing infrastructure for specialist AI use cases and full-stack development using a front-end language (e.g., JavaScript, React, Angular) and Python development.
Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
Experience designing/architecting infrastructure farms for specialist AI use cases and running MLPerf benchmarks.
Experience with distributed training and optimizing performance versus costs.
Ability to communicate English and Mandarin Chinese fluently to engage with Chinese speaking or English speaking customers.