Advanced Data Privacy Specialist
4 days ago
Galois is a pioneering organization in the field of computer science, dedicated to ensuring trustworthiness in critical systems. Our mission revolves around applying formal analysis techniques to guarantee that systems behave as intended under all circumstances.
As a collaborative community of researchers, engineers, and operations experts, we strive for transparency, deep trust, learning, innovation, and inclusivity. Our employee-owned structure allows us to adapt to innovative projects' needs.
We aim to provide employees with freedom to pursue their passions, whether through opportunities for learning, career growth, sense of community, or personal interests.
Our research engineers work in small teams, interacting with clients, partners, and colleagues in a highly cooperative environment.
We're seeking individuals who can invent, learn, think, and inspire.
For more information on our organizational structure, visit Life at Galois.
About This RoleWe are hiring a Software Engineer/Researcher to join our team. The primary focus will be advancing data privacy and statistical methods, including programming language technologies for software engineering challenges.
Responsibilities- Data privacy: leverage state-of-the-art approaches for implementing systems with formal data privacy guarantees. Design and implement new algorithms for data privacy. Evaluate privacy protection guarantees using adversarial machine learning methods. Review and evaluate software implementing or applying formal privacy techniques.
- Applied programming languages research: develop embedded DSLs for data science domains that enforce data privacy properties by construction. Interface with existing languages and support client-specified user workflows.
- Requirements gathering: engage clients in discussions refining needs and suggesting means to meet those needs.
- Architecture and design: construct high-level architectural descriptions of software systems, fleshing out architecture prototypes with assurance in mind. Determine where and how formal methods are applied.
- Implementation: extend design prototypes ensuring robustness and ease of use.
- Testing and validation: construct and conduct system, unit, and regression tests. Conduct semi-formal validation and verification.
- Technology research and development: conduct speculative research and development of cutting-edge technology, incorporating it into demonstration prototypes.
- Technical infrastructure development: develop tools for Galois and library code to be shared among projects.
This estimate is based on national averages for similar positions in the United States.
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