About the position
Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on: Data-efficient alignment of evaluation models, Dynamic testing of AI applications, Observability and anomaly detection, Discrete optimization (with applications in architecture search and automated prompting). Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere.
Responsibilities
- Work directly with customers to adapt our core R&D for different domains.
- Build out core infra, cloud tooling, and UX around our algorithms.
- Ship delightful tools that are used by AI application developers all across the world.
Requirements
- High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
- Strong open source presence or strong track record of software engineering projects and employment.
- Experience with ML in an applied setting.
- Can ramp up quickly to understand our research.
Benefits
- Generous salary
- Equity
- Benefits
