Bachelor’s degree in Computer Science, or in a related technical field, or equivalent practical experience.
8 years of experience in developing infrastructure or solutions within cross-functional engineering environments.
5 years of experience with design and architecture, and testing/launching software products.
3 years of experience working in a, matrixed organization involving cross-functional, or cross-business projects.
2 years of experience in technical innovation in data governance or in related fields.
Experience with software development in one or more programming languages (e.g. C++, Python), and with Machine Learning and privacy data handling.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or in a related technical field.
8 years of experience with data structures/algorithms.
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., data processing, debugging, fine tuning).