Greptile
Research Engineer
San Francisco
Sponsorship not specifiedDetected 12 days ago
Code ReviewGitMachine LearningLLMsFigmaResearch
About the role
- Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards.
- We're reviewing close to 1B lines of code a month now for over 3,000 companies.
Requirements
- Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
- Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
- Stay current with the latest research in LLMs, information retrieval, and developer tooling
Nice to have
- Coding standards can be idiosyncratic and are often poorly documented
- Can we identify for each customer what types of PR feedback they do and don't care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
- Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests.
- Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
- Raised $30M from Benchmark, YC, Paul Graham, Initialized
- We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
- BS in Computer Science or equivalent
- Some research experience, ideally with ML/LMs/Agents
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