We have an excitingopportunity foranAI Research EngineeratUL Research Institutes, within our Digital Safety Research Institute (DSRI). This isa REMOTE opportunity

TheAI Research EngineeradvancesDigitalSafety mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety assessment systems, with a focus on large language models (LLMs), natural language processing (NLP) safety. This role contributes to the development of rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights that improve the safety assessments of frontier AI systems.

Whatyoulearnandachieve:

As theAI Research Engineer,youwill play a key role in the rapid growth ofULas you:

• Studiesincident reports implicating LLMs or NLP algorithms and hypothesize root causes.

• Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and troubleshooting skills.

• Codes or trains text analytics needed to run NLP or LLM assessments. Prepares writtencomponentdocumentation for technical audiences.

• Publishesassessmentresearch results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.

• Works closely with team members to ensure that all processes areaccurateand technically sound.

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

• Demonstratesmastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.

• SolvesAI assessment research challenges independently and efficiently.

• Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale

• Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.

• Begins developing relationships within the broader safety community

Professional education and experience requirements for the role include:

• Ph.D. in computer science or related field, focused on NLP or LLMs.

• 3 years of relevant experience, post Ph.D.

Salary Range:

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