Role Overview: Seeking experienced software engineers at a tech lead level familiar with high-quality public GitHub repositories to contribute to an advanced AI-related project. The role involves hands-on software engineering tasks including development environment automation, issue triaging, and evaluating test coverage and quality.
Work Description:
- 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 large language model (LLM) performance in bug-fixing scenarios.
- Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
Preferred Qualifications:
- Minimum 2+ years of overall experience.
- Strong experience with Rust programming language.
- 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.
Project Details:
- Commitments Required: At least 4 hours per day and minimum 40 hours per week with 4 hours overlap with Pacific Standard Time (PST).
- Employment Type: Contractor assignment (no medical or paid leave).
- Duration: 2-3 weeks.
- Location: Remote.
