Senior Software Engineer for LLM Evaluation

Role Overview: This position focuses on building LLM evaluation and training datasets aimed at addressing realistic software engineering challenges. The role involves creating verifiable software engineering tasks based on public repository histories, utilizing a synthetic approach with human-in-the-loop methodologies, while expanding dataset coverage across various programming languages and difficulty levels.

Key Responsibilities:

• 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 that present challenges for LLMs.
• Lead a team of junior engineers to collaborate on projects.

Qualifications:

• Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
• 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.

Nice to Have:

• Previous participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Work Terms:

• Commitment required: 20 hours per week with some overlap with PST.
• Employment type: Contractor assignment (no medical/paid leave).
• Duration of contract: 3 months with an expected start date next week.

Compensation: Competitive compensation commensurate with experience.

Eligibility:

• This position is fully remote.
• Open to candidates with the required skills and experience.