Senior Software Engineer – Go (LLM Evaluation & Repository Validation)
Overview
This role centers on building LLM evaluation datasets that teach models to solve realistic software engineering problems. You will triage GitHub issues from popular open-source repositories, set up Docker containers and code environments, and run modified codebases in local environments to measure how well models handle bug-fixing tasks. The work is hands-on and includes evaluating unit test coverage, collaborating with researchers to identify challenging tasks, and the option to lead junior engineers. Projects draw on public repository histories with a human-in-the-loop, synthetic approach to expand task coverage across Go and other programming languages.
What You'll Do6
- 1Triage incoming GitHub issues from trending open-source projects to identify suitable candidates for LLM evaluation.
- 2Set up and configure repository environments, including Docker containers and dependency installation.
- 3Assess the coverage and quality of unit tests across selected codebases.
- 4Modify and run codebases in local environments to benchmark how well LLMs resolve bug-fixing tasks.
- 5Partner with researchers to select repositories and issues that present meaningful challenges for models.
- 6Guide and supervise a small team of junior engineers on project delivery.
Requirements7
- 1At least 3 years of professional software engineering experience.
- 2Strong command of Go and the ability to write, debug, and evaluate code in it.
- 3Working proficiency with Git and Docker, plus the ability to set up basic software pipelines.
- 4Skill at reading, navigating, and modifying complex codebases.
- 5Comfort running and testing real-world projects in local environments.
- 6Prior open-source contribution or code evaluation experience is a plus.
- 7Any past work on LLM research, evaluation, or developer tools is a plus.
Who Should Apply
The ideal candidate is a senior engineer with strong Go skills and a track record of working with high-quality open-source repositories. You should be comfortable setting up Docker environments, triaging GitHub issues, and judging test coverage from concrete evidence. If you have contributed to open-source projects or participated in LLM evaluation work before, that fits well. This role is less suitable for engineers who prefer hands-off research or who cannot commit to at least 20 hours per week with 4 hours of PST overlap. Candidates often score low when they lack demonstrated experience running and modifying unfamiliar codebases, or when they struggle to explain how they assess the quality of a test suite.
Location
Required Skills
Application Tip
Highlight concrete examples of Go projects you have set up with Docker and tested in local environments. Name the GitHub repositories you contributed to or evaluated, and quantify your experience with issue triaging and test coverage assessment. If you have any background in LLM evaluation or developer tools, put it near the top of your resume.
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