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PhD Scientist - AI Research Challenges
Job Description & How to Apply Below
As part of an exciting new benchmark initiative, your role at Mercor will focus on authoring executable research problems in domains such as numerical linear algebra and computational mechanics. Your expertise will help facilitate AI advancements by pinpointing areas where leading models struggle, ensuring more comprehensive evaluation techniques.
Key Responsibilities:
• Design original research problems sourced from various materials
• Write appropriate scientific prompts for AI tasks
• Establish detailed grading criteria for evaluations
• Assess task performance against current AI models
• Document and report on task calibrations effectively
Requirements:
• PhD in mathematics, computational mathematics, or related fields
• Proficient in at least two key mathematical subdomains
• Strong programming skills in Python for scientific purposes
• Comfortable using Git, Git Hub, and Docker
• Ability to handle project workflows with quality assurance
Make meaningful contributions to AI evaluation at Mercor, leveraging your mathematical expertise and innovative insights.
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