Senior Software Engineer for LLM Evaluation & Repository Validation

Role Overview: This position focuses on developing and validating LLM evaluation datasets to tackle realistic software engineering challenges. The role emphasizes creating verifiable software engineering tasks derived from public repository histories, utilizing a synthetic approach with human involvement to enhance dataset diversity 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 challenge LLMs.
• Lead a team of junior engineers on collaborative projects.

Qualifications:

• Minimum of 3 years of overall experience.
• Strong experience with at least one programming language, specifically Go.
• Proficiency with Git, Docker, and basic software pipeline setup.
• Able 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.

Preferred Qualifications:

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

Work Terms:

• Commitment of at least 4 hours per day and a minimum of 20 hours per week, with 4 hours of overlap with PST. Options for time commitment include 20 hrs/week, 30 hrs/week, or 40 hrs/week.
• Contractor assignment (no medical/paid leave).
• Location: Open to candidates in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.

Compensation: Competitive rates commensurate with experience.

Eligibility: Open to candidates with the required qualifications and location restrictions as specified.

Evaluation Process: The evaluation process includes two rounds of interviews: a 60-minute technical interview followed by a 30-minute technical and cultural discussion.