Bachelor’s degree or equivalent practical experience.
5 years of experience training and deploying generative models, with a focus on real-world applications.
Experience working with large datasets, data cleaning, pre-processing, and analysis.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures/algorithms.
Experience with contributing to open-source projects or publications in relevant conferences.
Experience with doing research work (e.g., graduate work or in prior projects) and working with Gemini models or machine learning frameworks.
Understanding of deep learning architectures and related algorithms (e.g., Transformers) and deploying machine learning models on Alphabet infrastructure (especially TPUs).
Excellent communication, collaboration, and problem-solving skills with a passion for innovation and generative models.