Develop LLM applications to evaluate data quality, solve difficult problems of synthetic data capabilities and execute business solutions "Jailbreak" and find vulnerabilities in LLMs and other generative AI models. Develop training materials for red teaming and adversarial analysis; conduct training with operation staff Develop data creation and vulnerability testing scripts in Python/TypeScript; work with ML Engineers and software engineers for robust implementation and in-platform deployment Analyze and visualize experimental prompt results Develop and teach new prompt engineering methods to ML engineers and software engineering staff
B.S. or higher in a quantitative major or one related to language models (linguistics, philosophy, etc.) Proficiency writing Python or TypeScript for API-enabled scripts Ability to conduct analysis of model performance via statistics and data visualization Experience using frontier-scale LLMs (GPT, Claude, PaLM) programmatically towards specific applications or implementations Demonstrated ability to have built an LLM-based application or hacking an LLM to serve some novel purpose Familiarity with LLM evaluation metrics (BLUE, ROUGE, MAUVE, etc.) and statistics Strong written and verbal communication skills A creative mindset to drive experimentation and internal R&D
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.