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We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.
We are looking for experienced software engineers to work on this project.
- Experience with Rust programming language
- Strong software engineering skills
- Ability to work on realistic software engineering problems
- Build verifiable SWE tasks based on public repository histories
- Expand dataset coverage to different types of tasks
- Collaborate with team to achieve project goals
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