Ai/Ml Infrastructure Software Engineer

Job DescriptionMinimum qualifications:- Bachelor's degree or equivalent practical experience.- 8 years of experience with software development in one or more programming languages (e.G., Python, C, C++, Java, JavaScript).- Experience in ML Infrastructure Development or ML Performance Engineering.Preferred qualifications:- Experience with Machine Learning (ML) development process.- Expertise in C++ and Python, Responsible ML, ML Explainability, ML Fairness Tensorflow, JAX, Keras, Gemax TFX, TFlex, Xflow or ML Performance Engineering.- Knowledge of Google production infrastructure.- Ability to collaborate with partners on applying ML to their use cases.- Passion for building infrastructure to increase the velocity of ML development.About The JobThe AI Flow Platform and suite of products are used by thousands of Googlers across all product areas to drive business impact for Google in innumerable ways (e.G., finding insights in data, building classical ML models, experimenting with Gemini,...