Apply advances in agents and language models to improve product performance and capabilities.
Design and build multi-agent systems, harnesses, models, and evaluations for code validation.
Study and prototype multi-agent code-review architectures and workflows.
Evaluate prototypes and collaborate with the team to integrate successful approaches into production systems.
Track research in LLMs, information retrieval, and developer tooling.
Requirements
B.S. in Computer Science or equivalent.
Research experience in mathematics, computer science, or physics.
Strong programming skills and strong product intuition.
Preferred experience includes machine learning, language models, agents, technical harnesses and evaluations, model post-training, publications at top machine learning conferences, or a research master’s or PhD.
Benefits
Full-time, on-site role in San Francisco with an expectation of working in the office every day.
Up to $25,000 in relocation assistance.
Opportunity to work on AI-powered code review used by thousands of developers and more than 22,000 customers.
Work with a small, talent-dense team in a high-growth environment.
Salary: $180k - $280k/yr
Greptile
Building the universal code validation layer, starting with AI agents that review pull requests with full codebase context.