Roundtable is a research and deployment company building the proof-of-human layer in digital identity. Roundtable seeks to produce high-impact research and to productize this research in bot detection, fraud prevention, and continuous authentication.

Roundtable was founded in 2023 by two Princeton PhD scientists – Mayank Agrawal and Matt Hardy. They have published in Science, PNAS, Nature Human Behaviour, and Psychological Review and are backed by Y Combinator and Brickyard Ventures.

Our technical work is full-stack and requires both scientific advancement and engineering excellence. Your scientific work will involve working with our team to develop new tasks and methods to distinguish humans and AI systems, gathering data through internal red-teaming, and training models that are robust in adversarial contexts. This research work will involve an interdisciplinary mix of machine learning, cognitive science, and online experimentation. You also may assist the team in writing scientific articles summarizing our work for publication at top venues (e.g. Science, HCI, NeurIPS). Engineering work will involve building systems to serve these models with minimal latency and building intuitive interfaces for our clients. Compared to other AI research labs, we have a singular focus on productizing, deploying, and monetizing frictionless digital identity systems.

You should be prepared to spend around half of your time on research and half on engineering.

The ideal candidate has experience in both. However, we don’t strictly require research experience as long as you have a strong quantitative background and an eagerness to learn. We do require proficiency in both web development (Javascript, Node.js) and Python.

Our work is fundamentally open-ended and requires candidates who are comfortable with the uncertainty that brings. As on any ambitious project, much of your time will be spent on failed experiments. However, you will have a high degree of autonomy and freedom to solve the problems you are confronted with. As such, the ideal candidate enjoys this freedom and the challenge it presents.

You must be an enrolled full-time student

Our technical work is full-stack and requires both scientific advancement and engineering excellence. Your scientific work will involve working with our team to develop new tasks and methods to distinguish humans and AI systems, gathering data through internal red-teaming, and training models that are robust in adversarial contexts. This research work will involve an interdisciplinary mix of machine learning, cognitive science, and online experimentation. You also may assist the team in writing scientific articles summarizing our work for publication at top venues (e.g. Science, HCI, NeurIPS). Engineering work will involve building systems to serve these models with minimal latency and building intuitive interfaces for our clients. Compared to other AI research labs, we have a singular focus on productizing, deploying, and monetizing frictionless digital identity systems.