
Patronus AI is the leading automated AI evaluation and security company. Our world-class platform enables enterprise development teams to score LLM performance, generate adversarial test cases, benchmark LLMs, and more. Customers use Patronus AI to detect LLM mistakes at scale and deploy AI products safely and confidently. Founded by machine learning experts from Meta AI and Meta Reality Labs, Patronus AI is on a mission to boost enterprise confidence in generative AI. We are backed by Lightspeed Venture Partners, Replit CEO Amjad Masad, Gokul Rajaram, and Fortune 500 executives and board members.

Patronus AI is the leading automated AI evaluation and security company. Our world-class platform enables enterprise development teams to score LLM performance, generate adversarial test cases, benchmark LLMs, and more. Customers use Patronus AI to detect LLM mistakes at scale and deploy AI products safely and confidently. Founded by machine learning experts from Meta AI and Meta Reality Labs, Patronus AI is on a mission to boost enterprise confidence in generative AI. We are backed by Lightspeed Venture Partners, Replit CEO Amjad Masad, Gokul Rajaram, and Fortune 500 executives and board members.
What they do: Automated evaluation, monitoring, and security platform for LLMs and multimodal AI
Founders: Anand Kannappan (CEO) and Rebecca Qian (CTO), both ex‑Meta
Headcount: Approximately 35 employees
Funding (disclosed): $20M total ($3M seed + $17M Series A)
Notable investors: Notable Capital (Series A), Lightspeed Venture Partners (seed); angels and strategic investors including Datadog, Gokul Rajaram, Amjad Masad
| Company |
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LLM evaluation, AI safety, monitoring and guardrails for production generative AI
2023
Technology, Information and Internet
$3M
Seed round announced at launch from stealth
$17M
Series A announced with participation from Lightspeed, Datadog, and multiple angel/strategic investors
“Backed by tier‑one VC (Lightspeed) and a later Series A led by Notable Capital; includes strategic and high‑profile angel investors”
Preferred Location: This role is ideally based in NYC or SF, though we are open to exceptional remote candidates.
About Patronus AI Patronus AI’s mission is to provide the security and risk management layer for AI. We are solving the problem of scalable oversight - how can humans continue to supervise AI systems when AI far outperforms them in many real world scenarios? Our vision is a world in which AI evaluates AI.Our founding team comes from top applied ML and research backgrounds, including Facebook AI Research (FAIR), Airbnb, Meta Reality Labs, and quant finance. As a team, we have published research papers at top ML conferences (NeurIPS, EMNLP, ACL), designed and launched Airbnb’s first conversational AI assistant, pioneered causal inference at Meta Reality Labs, exited a quant hedge fund backed by Mark Cuban, and scaled 0→1 products at high growth startups. We are backed by Lightspeed Venture Partners and high profile operators like Amjad Masad, Gokul Rajaram, and Fortune 500 executives and board members. We are advised by Douwe Kiela, Adjunct Professor at Stanford University and former Head of Research at Hugging Face.
We are seeking a highly motivated Ph.D. Research Fellow to join our Applied Research team. This fellowship offers an opportunity for advanced doctoral candidates or recent Ph.D. graduates to bridge cutting-edge academic research with high-impact, real-world applications. You’ll collaborate with top researchers, engineers, and product teams to advance the state of AI evaluation.
Responsibilities
Qualifications
This Research Fellow position at Patronus AI can be structured as a paid intern, or Patronus AI can sponsor the research conducted at your university.
Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.