Your work will focus on creating robust, resilient, and high-performance infrastructure-whether thats distributed pipelines, backend services, or tooling that supports our research teams.
This role is engineering-first with a strong research and cyber component. You will develop systems that must run reliably in production, integrate with external partners, and support large-scale data, experiments, and automated evaluations. Youll drive architectural decisions, lead technical implementations, and shape how our platform evolves.
Representative Responsibilities:
Architecting and scaling production-grade systems and workflows.
Building backend services, APIs, and monitoring tools for large-scale model evaluations.
Designing infrastructure that supports research experiments at scale.
Implementing agent frameworks in production environments
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Have strong software engineering fundamentals and multiple years of production experience.
Have experience working in multidisciplinary teams, and can adapt to rapidly evolving challenges.
Enjoy working at the intersection of engineering and applied research.
Are interested in AI and cybersecurity (experience in machine learning or cybersecurity is a plus but not necessary).
Care about the societal impacts of your work.
