AI/ML Infrastructure Software Engineer
Job Description
- 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.