Platform – which develops and operates Serenity, our production AIOps environment, on which Purple and our other intelligent services are built. This team stresses system design, software engineering skill,s and operational maturity.
Research – responsible for the experimentation, algorithm design, and evaluation methods required to turn ideas and techniques into intelligent systems.
Knowledge – which acquires and curates the knowledge and datasets required to deliver well-grounded systems. This stresses database and information design, knowledge of elicitation methods and product instrumentation; and the EQ required to organize and engage SME communities.
Requirements & Skills:
One or more independent projects that use LLMs, Foundation Models, or other current machine learning technologies.
Facility with Python and the tooling associated with machine learning experimentation, system development, and delivery.
Extensive coursework in Computer Science, Software Engineering, and Machine Learning (or equivalent experience in another quantitative discipline) – in particular you should have a clear understanding of the boundary between CS and ML.
Must currently be enrolled in a degree-seeking program
Ideally, a strong, practical understanding of current practices and challenges in cybersecurity.
