Apply general security and ML domain knowledge to problems, identify new avenues of research to apply to current projects.
With minimal supervision, define and execute experiments to support research on a project.
Independently explore data curation and labeling, and feature extraction using domain expertise
Document results of experiments, draw and support conclusions from those experiments; with assistance, evaluate business case/impact
Contribute significantly to group publications and presentations, including (with assistance) occasional lead or sole authorship of academic publications and presenting work at academic or industry conferences
Keep up to date on current research and developments in ML and security
Contribute to internal tools, including identifying gaps where new functionality would be helpful, and implementing significant changes to tools/frameworks to accommodate new technologies.
Integrate new models into existing frameworks and support hand-off to production
Support existing model releases, including updates and improvements as needed, and integration with internal tools and systems for production.
What You Will Bring
Fluent in machine learning and statistical concepts.
General security domain knowledge, developing deeper expertise in some subdomain of security
Able to identify scientific literature relevant to a problem, grasp it and apply it.
Fluent in Python, a database query language like SQL, and familiar with a lower level language like C++.
Good general writing skills and ability to translate complex concepts for general consumption.
Competent at contributing to scientific papers with minimal assistance. Prior publications and talks a bonus.
