Software Engineer (Codebase Deep Reasoning & Evaluation)

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is seeking software engineers to support one of the world’s leading AI labs in advancing code understanding and reasoning capabilities for next-generation machine learning models. In this role, you’ll engage in real-world engineering work: Analyzing large, production-grade repositories to create and evaluate technically challenging coding questions. Systematically exploring multiple modules and connecting related functions across files. Assessing how advanced AI systems reason about architecture, data flow, and performance. Your ability to reason from evidence: citing specific files, functions, and line numbers will directly influence how these AI models learn to think like expert engineers. Qualifications 4+ years of elite software engineering experience at top-tier startups, quantitative trading firms, hedge funds, or similar high-performance environments. Experience using coding agents or LLMs as part of your engineering workflow (e.g., Copilot, Claude, GPT-4, or Replit Agents). Computer Science degree from a leading university or equivalent practical expertise. Fluent in Python and JavaScript/TypeScript, and can comfortably read Java, Go, or other modern languages (Rust, C++, C#). Demonstrate systematic exploration, examining multiple files and dependencies before forming conclusions. Practice evidence-based reasoning, grounding answers in specific code references rather than assumptions. Excel at cross-file synthesis, conne