✨ About The Role
- The role involves developing LLM applications to evaluate data quality and solve complex problems related to synthetic data capabilities.
- Responsibilities include "jailbreaking" LLMs to find vulnerabilities and developing training materials for red teaming and adversarial analysis.
- The position requires collaboration with ML Engineers and software engineers to create robust implementations and deploy solutions on the platform.
- Analyzing and visualizing experimental prompt results is a key part of the job.
- The role also includes teaching new prompt engineering methods to ML engineers and software engineering staff.
âš¡ Requirements
- A recent graduate with a B.S. or higher in a quantitative major or a field related to language models.
- Proficient in writing Python or TypeScript for API-enabled scripts, showcasing strong programming skills.
- Capable of conducting analysis of model performance using statistics and data visualization techniques.
- Experience with frontier-scale LLMs, such as GPT, Claude, or PaLM, and familiarity with their applications.
- A creative problem solver with a mindset geared towards experimentation and internal research and development.