Senior Software Engineer for LLM Evaluation & Repository Validation

In this role, you will contribute to the development of LLM evaluation and training datasets designed to tackle realistic software engineering challenges. Your expertise will help create verifiable software engineering tasks based on public repository histories, utilizing a synthetic approach with human-in-the-loop methodologies. This position offers a unique opportunity to merge practical software engineering with AI research, influencing the future of AI-assisted software development.

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 are challenging for LLMs.
• Lead a team of junior engineers on collaborative projects.

Qualifications:

• Minimum of 3 years of overall experience.
• Strong experience with Rust.
• 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:

• Commitments Required: 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.
• Employment Type: Contractor assignment (no medical/paid leave).
• Duration of Contract: 3 months; expected start date is next week.
• Location: Candidates from India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico are eligible.

Compensation:

Details regarding compensation will be discussed during the interview process.

Eligibility:

This position is open to candidates who meet the location requirements and can commit to the specified hours.

Evaluation Process:

• Two rounds of interviews (60 minutes technical + 30 minutes technical & cultural discussion).