Machine Learning Engineer

• Compose together tens to thousands of calls to language models to accomplish tasks that can't be accomplished with a single call
• Curate datasets for fine-tuning models, e.g., for training models to extract policy conclusions from papers
• Set up evaluation metrics that determine what changes to models or training setups qualify as improvements
• Scale up semantic search from a few thousand documents to 100k documents

This role contributes to developing AI systems that can extract policy conclusions from research papers, potentially accelerating evidence-based decision making in important domains.

• Machine learning engineering skills
• Experience with language models and semantic search
• Ability to curate datasets for fine-tuning models
• Experience setting up evaluation metrics for ML systems

No benefits information provided in the job description.

Elicit is an AI research organization focused on developing language models and AI systems for extracting insights from research papers and documents.