Senior Software Engineer - LLM Evaluation & Repository Validation
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About the Projects:
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We are developing evaluation and training datasets for Large Language Models (LLMs) to enable them to work on realistic software engineering challenges. Our approach involves creating verifiable Software Engineering (SWE) tasks based on public repository histories in a synthetic manner, with human involvement. We aim to expand dataset coverage across different task types, including programming languages, difficulty levels, and more.
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About the Role:
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We seek experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories who can contribute to this project. Candidates should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
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Responsibilities:
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* Analyze and triage GitHub issues across trending open-source libraries.
* Set up and configure code repositories, including Dockerization and environment setup.
* Evaluate unit test coverage and quality.
* Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
* Collaborate with researchers to design and identify repositories and issues challenging for LLMs.
* Opportunities to lead a team of junior engineers on projects.
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Requirements:
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* Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
* Experience working with well-maintained, widely-used repositories with 500+ stars.
* Proficiency with Git, Docker, and basic software pipeline setup.
* Ability to understand and navigate complex codebases.
* Comfortable running, modifying, and testing real-world projects locally.
* Experience contributing to or evaluating open-source projects is a plus.
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Preferred Skills:
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* Previous participation in LLM research or evaluation projects.
* Experience building or testing developer tools or automation agents.
* Fully remote work environment.
* Opportunity to work on cutting-edge AI projects with leading LLM companies.
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Work Arrangement:
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* Commitment required: 20 hours per week with some overlap with PST.
* Employment type: Contractor assignment (no medical/paid leave).
* Duration of contract: 1 month with expected start date as next week.
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