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Job Description
About Company
This company is an AI research lab with a singular focus on productizing, deploying, and monetizing frictionless digital identity systems. Unlike other AI research labs, its core mission emphasizes practical application, deployment, and revenue generation from its technical work.
Job Description, detailed
This role is a full-stack position requiring a balance of scientific advancement and engineering excellence. You should be prepared to spend approximately half of your time on research and half on engineering.
Research Responsibilities:
• Developing new tasks and methods to distinguish between human and AI systems.
• Gathering data through internal red-teaming exercises.
• Training models designed to be robust in adversarial contexts.
• The research work is interdisciplinary, encompassing machine learning, cognitive science, and online experimentation.
• You may also assist the team in writing scientific articles for publication in top venues (e.g., Science, HCI, NeurIPS).
Engineering Responsibilities:
• Building systems to serve the developed models with minimal latency.
• Creating intuitive interfaces for clients.
Required Skills & Experience:
• Proficiency in web development (Javascript, Node.js).
• Proficiency in Python.
• While experience in both research and engineering is ideal, research experience is not strictly required if you possess a strong quantitative background and an eagerness to learn.
Desired Qualities & Work Environment:
• Comfortable with the uncertainty inherent in fundamentally open-ended work.
• Prepared for the reality that a significant portion of time may be spent on failed experiments, which is typical for ambitious projects.
• Enjoys a high degree of autonomy and freedom to solve complex problems.
• Thrives on the challenges presented by this freedom and autonomy.
Eligibility:
• You must be an enrolled full-time student.