Job Description
Note: We have a preference for candidates that are able to work out of NYC or SF for this role! 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 01 products at high growth startups. We are backed by Notable Capital, 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.
Benefits - Competitive salary and equity packages
- Health, dental, and vision insurance plans
- 401k plan
- Unlimited PTO
- Fun global offsites!
Responsibilities As a Full Stack Engineer at Patronus AI, you will contribute to a product that is addressing one of the most important and challenging problems facing society's adoption of AI today. You will work in a fast-paced environment in which you will work on all stages of product development: conception, system design, implementation, polish, and maintenance.
In this role, you will:
- Build high performance user interfaces for the product, such as LLM evaluation workflows, advanced analytics, search, and data visualizations
- Design efficient data models and REST APIs
- Architect and implement agentic systems
- Develop internal tools and libraries (e.g. data visualization library) to improve simplicity and productivity for the broader engineering team
- Consider everything a 'work in progress'. Constantly polish existing features and iterate on customer feedback
- Closely collaborate with cross-functional partners in software engineering, design, product, ML, and research
Qualifications "The number one qualification to succeed in this machine learning course is gumption" - John Lafferty, CS Professor at Yale
Above all, we look for a proactive mindset, willingness to learn, relentless drive, and passion for engineering and product. You are a great fit if you have a background in the following:
- BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field
- Experience with modern UI frameworks like React and web-oriented programming languages like TypeScript
- Experience with Python and backend frameworks like FastAPI or Django
- Experience with relational databases like PostgreSQL and familiarity with vector databases and columnar databases
- Experience with cloud environments like AWS
- Have good character, integrity, and respect for others!
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.
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