--- title: 'Research Intern at Haize Labs' canonical: 'https://feeny.ai/job/research-intern-haize-labs-new-york-0cbyc3dcxr68' type: 'job' last_seen: '2026-09-08' --- # Research Intern at Haize Labs - **Company:** Haize Labs - **Location:** New York, NY - **Posted:** 2024-07-03 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/haizelabs/jobs/4070377008 ## Job description Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk of using language models in any setting. To prevent these systems from failing, we preemptively discover all the ways in which they can fail and continuously eliminate them in deployment. We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your work will not only set the standard both in terms of research, but also in terms of how LLMs are tested, verified, and applied across customers, companies, and industries. You will directly influence how the world responsibly uses LLMs. ## 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. - Deliver a delightful human-in-the-loop product experience. - Ship tools that are used by developers across the world. ## Qualifications - Experience with ML in an applied setting. - Strong open source presence or strong track record of software engineering projects and employment. - Can ramp up very quickly on understanding our research. - Love to break things, i.e. have a “stick it to the Man” attitude. Annual Salary $125,000 – $200,000 USD Logistics Location policy: 6 days a week, in person, in NYC. US visa sponsorship: If you are exceptional, we will sponsor your visa. We encourage you to apply even if you do not believe you meet every single qualification: We’re open to considering a wide range of perspectives and experiences, and would love to chat with you. Compensation and Benefits: Haize Lab’s provides generous salary, equity, and benefits. What sets us apart We are not here to write GPT wrappers or get rich quick off the AI bubble. We're here to work on the hardest, most fundamental research problem in AI: making it reliable and robust. Come here to push yourself, learn fast, experience excellence, and kickstart your life's work. We value our team above all else, and firmly believe that greatness begets greatness. Since starting 6 months ago, we’ve developed a suite of safety tools that’s being used at places like Anthropic, AI21, Scale AI, and several other foundation model providers. We’ve been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril, and Netflix. We’re lucky to be advised by professors from CMU and Harvard. Our founding team has been working together for quite some time. We are turning down our Stanford PhD offers to send it on Haize Labs, have gotten into Y Combinator and other accelerators multiple times (and turned down multiple times), were the first Student Researcher at Allen AI, co-led R&D at a Series A NLP startup, wrote ML-guided matchmaking services for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. ## About Haize Labs ## Company Overview - **One-liner**: Haize Labs builds a reliability platform for AI agents, enabling safe, production‑ready autonomous systems through adversarial testing, guardrails, and continuous improvement. - **Entity Type**: Private (Seed round of $12.5M led by General Catalyst; some sources label it Series A – conflicting reports) [cbinsights.com](https://www.cbinsights.com/company/haize-labs) [join.haizelabs.com](https://join.haizelabs.com/) - **Headquarters**: 222 Broadway, New York, New York 10007, United States [cbinsights.com](https://www.cbinsights.com/company/haize-labs) - **Founded**: 2023 [cbinsights.com](https://www.cbinsights.com/company/haize-labs) - **Founders**: Leonard Tang (Co‑Founder, CEO) and Steve Li (Co‑Founder) [haizelabs.com/about](https://www.haizelabs.com/about) ## Core Business - **Primary industries**: AI reliability / safety, AI agent development, enterprise AI infrastructure. - **Target customers**: B2B, Enterprise, and Government – including frontier AI labs, Fortune 500 banks, insurers, gaming companies, and national governments. - **Mission**: “Solve the hardest problem in AI: making it reliable in the real world.” ## Products & Services - **Reliability Harness** – A platform for deploying AI agents with 99.9% reliability. Includes: - **Red‑Teaming**: Automated adversarial and fuzz testing to discover vulnerabilities. - **Simulation Testing**: Exhaustive scenario validation before deployment. - **Guardrails**: Runtime constraints to keep outputs within policy boundaries. - **Supervisors**: AI monitors trained to oversee other agents for consistent performance. - **Annotation Tooling**: Labeling and evaluation tools to capture human nuance. - **Ongoing Improvement**: Continuous enhancement based on production interactions. - **Judge**: Model‑based evaluators trained via scaled inference‑time compute. - **Monitor**: Real‑time tracing, monitoring, and observability. - **Robustify**: Continual improvement against bugs uncovered by Haize testing. - **Professional Services** (Engagement Design): Agent development, knowledge transfer, exploratory phase, and validation against human experts. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding of $12.5M (Seed round; some sources list as Series A – conflicting reports). - **Notable Investors**: Lead – General Catalyst. Also AI Grant Batch 4, and angel investors including the founder of Okta, former CISO of Google, CEO of Weights & Biases, CEO of Cognition Labs, CEO of Pika Labs, CEO of Replit, CTO of CodeSignal, CSO of HuggingFace, CEO of Etched, and others. - **Advisors**: CISO of Databricks / Robinhood / Capital One, NYU Alignment Research Group professor, inventor of t‑SNE / Head of Llama Team at Meta AI, former Head of Responsible AI at Twitter/Accenture. - **Growth Signals**: Customers include Anthropic, OpenAI, AI21 Labs, a Fortune 500 bank, top‑3 North American insurer, Canadian airline, $30B gaming company, Government of Singapore, and European digital bank. Media coverage in Washington Post, Business Insider, Forbes, PitchBook, VentureBeat. Founder named to Forbes 30 Under 30 (2025). ## Competitive Advantages - **Deep focus on reliability** as the core AI problem, not side‑channels or wrapper products. - **Proprietary Reliability Harness** combining red‑teaming, simulation, guardrails, and supervisor models. - **Top‑tier team**: members from Stanford (PhD dropout), Citadel, Hudson River Trading, Harvard PhD, Datadog LLM observability founding engineer, and nonprofit founders. - **Early partnerships** with frontier labs and large enterprises, giving unique exposure to real‑world deployment challenges. ## Strategic Focus - Rapidly move AI agents from “POC purgatory” to production with guaranteed reliability. - Become the “alignment layer” powering every AI system, for every use case, in every industry. - Continue expanding customer base across finance, insurance, gaming, government, and beyond. ## Why Work Here - **Culture**: “High‑agency, low‑ego” team; solve the hardest technical problem in AI; intense learning environment with “unmatched excellence.” - **Work style**: Hybrid presence in New York (222 Broadway) and San Francisco. Open roles include engineering (Product Slinger, Software Engineer Intern, Staff+ Backend & Infra, Vertical AI Lead) and research (Applied Researcher, Research Intern). - **Notable perks**: Work directly with top researchers and engineers; impact on AI safety at scale; early‑stage equity and fast‑paced decision making. - **Engineering culture**: Emphasis on deep technical work, push to production quickly, collaboration with frontier labs. ## Sources 1. [haizelabs.com](https://haizelabs.com/) 2. [job-boards.greenhouse.io/haizelabs](https://job-boards.greenhouse.io/haizelabs) 3. [haizelabs.com/about](https://www.haizelabs.com/about) 4. [cbinsights.com/company/haize-labs](https://www.cbinsights.com/company/haize-labs) 5. [join.haizelabs.com](https://join.haizelabs.com/) ## Other roles at Haize Labs - [Vertical AI Lead](https://feeny.ai/job/vertical-ai-lead-haize-labs-new-york-2sj8y8kjm1c5) — New York, NY / San Francisco, CA - [Software Engineer Intern](https://feeny.ai/job/software-engineer-intern-haize-labs-new-york-ate86k6c6yvz) — New York, NY - [Staff+ Software Engineer, Backend and Infra](https://feeny.ai/job/staff-software-engineer-backend-and-infra-haize-labs-new-york-mkcz8feps16j) — New York, NY - [Product Slinger](https://feeny.ai/job/product-slinger-haize-labs-new-york-41d7ffvwj7kx) — New York, NY / San Francisco, CA - [Applied Researcher](https://feeny.ai/job/applied-researcher-haize-labs-new-york-qfd7rg4pkxsx) — New York, NY / San Francisco, CA - [Research Intern](https://feeny.ai/job/research-intern-cantina-singapore-0t2dg9nfd7y1) — Singapore - [Research Intern](https://feeny.ai/job/research-intern-gensyn-remote-kjte8rn6b8pd) - [Research Intern](https://feeny.ai/job/research-intern-atla-london-jb06413zrkja) — London, United Kingdom - [Research Intern](https://feeny.ai/job/research-intern-ritual-remote-7cmnd1hagy5d)