Tech Stack

Description

You will apply your technical skills to support high-impact research problems at the intersection of applied research and practical engineering. You'll contribute across the project lifecycle from processing data to deploying models, with opportunities to explore novel methods and generate insights.

Requirements

• Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience
• Strong Python background
• Clear communicator of technical concepts for non-technical audiences

Responsibilities

• Collaborate with engineers on real projects, including client-facing products and in-house tooling
• Assist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems
• Ideate / brainstorm new research approaches to known and novel problems in the Trust Safety and AI Security fields
• Support other critical initiatives