
Senior Software Engineer – Open Source, SWE-Bench Evaluation
Posted 14 hours ago

Posted 14 hours ago
This is a fully remote position, open to applicants in Argentina.
• Analyze software engineering tasks that originate from actual GitHub issues and pull requests
• Evaluate the clarity and completeness of problem statements and success criteria
• Review unit tests for accuracy, coverage, and robustness
• Detect flaky tests, missing dependencies, version conflicts, and environmental issues
• Ascertain if tasks can be consistently reproduced across different environments
• Assess the real-world difficulty and complexity associated with each task
• Offer clear recommendations on whether tasks should be accepted, enhanced, or disregarded
• Review genuine bug fixes and feature implementations, repository configurations, dependency management, multi-file and cross-module changes, along with technical quality
• Over 3 years of professional experience in software engineering
• Significant experience with large, multi-file codebases
• Proficient in reviewing pull requests, debugging issues, and maintaining production-level code
• Strong grasp of unit testing and test coverage principles
• Capability to assess whether tests accurately validate a solution without unnecessarily limiting implementation options
• Familiarity with dependency management, environment setup, and reproducibility
• In-depth understanding of Git and GitHub-based development workflows
• Ability to analyze complex technical challenges and provide articulate written feedback
• Contributions to or maintenance of open-source projects (preferred)
• Experience with SWE-Bench, SWE-Bench Verified, or similar coding benchmarks (preferred)
• Familiarity with major Python open-source projects such as Django, Flask, scikit-learn, SymPy, matplotlib, requests, or pytest (preferred)
• Experience with Docker, CI/CD, pip, conda, or dependency pinning (preferred)
• Knowledge of test fixtures, test isolation, or property-based testing (preferred)
• Experience in designing technical assessments or evaluating coding challenges (preferred)
• Background in AI/ML evaluation, data curation, RLHF, or benchmark development (preferred)
• Flexible remote work options
• Part-time, project-based consulting engagement
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