Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with one or more of the following: embedded system or lower level Software stacks (e.g., networking, storage, etc.), ML infrastructure, Compilers (e.g. XLA), or specialization in another ML field.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with performance analysis and optimization such as system architecture, performance modeling, or related.
Experience with machine learning systems (e.g, background theory, TensorFlow, and other tools).
Experience with compiler optimizations or related fields.