AI/ML Infrastructure Software Engineer

Minimum 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.