
Software Development Engineer in Test
7 days ago
Role Overview
This position is within a project with one of the foundational LLM companies. The goal is to evaluate and enhance Large Language Models by testing their performance on real-world software engineering challenges.
For this role, you will contribute by analyzing, configuring, and running open-source repositories. Your work will focus on assessing LLMs' ability to identify, understand, and resolve complex software issues, ensuring the development of high-quality evaluation datasets for cutting-edge AI research.
What does day-to-day look like:
● 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 to ensure robustness of test suites.
● 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.
● Review outcomes and refine testing methodologies to improve consistency and reliability.
● (Optional) Lead a small team of junior engineers in collaborative evaluation projects.
Requirements:
● 4+ years of experience with software engineering, ideally with Python and modern development workflows.
● Familiarity with GitHub workflows, Docker, and environment setup.
● Strong debugging and analytical skills with the ability to run and modify complex codebases.
● Clear written communication skills in English.
● Prior experience in software testing, QA, or open-source contributions is a plus.
● Comfort with precision-focused evaluation work and collaborative research settings.
What success looks like:
● Delivering consistent, accurate evaluations of LLM performance across repositories.
● Effectively triaging and setting up diverse open-source projects.
● Contributing to a gold-standard dataset that supports research in AI code understanding and bug fixing.
● Driving insights that help advance the state of AI for software engineering.
Perks of Working With Brio:
● Work in a hybrid environment.
● Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer Details:
● Commitments Required: At least 8 hours per day and a minimum of 40 hours per week with overlap of 4 hours with PST.
● Engagement Type: Contractor assignment (no medical/paid leave).
● Duration of Contract: 5 months (adjustable based on engagement).
● Market Leading Salary
Interview Process
(approximately 30 mins)
:
● Interview to assess programming, debugging, and critical thinking skills.
● Questions about Software Engineering, Machine Learning, and AI.
Evaluation Process:
Candidates will be asked to complete a small technical task (offline after the interview), such as setting up a repository and running/debugging unit tests. The combined time to complete this task is expected to be around half a day.
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