Software Engineer Intern

<p><span style="font-weight: 400;">Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by <em>haizing </em>them -- i.e. rigorously, proactively, and continuously fuzz-testing them.</span></p> <p><span style="font-weight: 400;">We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:</span></p> <ol> <li>Data-efficient alignment of evaluation models</li> <li>Dynamic testing of AI applications</li> <li>Observability and anomaly detection </li> <li>Discrete optimization (with applications in architecture search and automated prompting)</li> </ol> <p><span style="font-weight: 400;">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 </span><span style="font-weight: 400;">will directly influence how LLM apps are tested, verified, and deployed everywhere. </span></p> <h3><strong>Annual Salary</strong></h3> <p><span style="font-weight: 400;">$100,000 – $125,000 USD</span></p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Work directly with customers to adapt our core R&D for different domains.</li> <li>Build out core infra, cloud tooling, and UX around our algorithms.</li> <li>Ship delightful tools that are used by AI application developers all across the world. </li> </ul> <h3><strong>Qualifications</strong></h3> <ul> <li>High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.</li> <li>Strong open source presence <em>or </em>strong track record of software engineering projects and employment.</li> <li>Experience with ML in an applied setting.</li> <li>Can ramp up quickly to understand our research.</li> </ul> <h3><strong>Logistics</strong></h3> <ul> <li><strong>Location policy:</strong> In NYC.</li> <li><strong>US visa sponsorship:</strong> If you are exceptional, we will sponsor.</li> <li><strong>Compensation and Benefits: </strong>We provide generous salary, equity, and benefits</li> </ul> <h3><strong>We're Not Here to Play Games.</strong></h3> <p>We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. </p> <p>Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.</p> <p>Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.</p> <p>We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.</p>