Member of Technical Staff - Environments

Member of Technical Staff - Environments About Patronus AI, Inc.

Patronus AI is building hyperrealistic, diverse reinforcement learning (RL) environments and benchmarks to steer frontier AI models. Our mission is to enable next generation AGI capabilities through scalable oversight.

We are a team of AI researchers and engineers formerly from companies like Meta AI, Amazon AGI, and Google. As a team, we have published research papers at top ML conferences (NeurIPS, EMNLP, ACL), and we are the creators of popular AI products and benchmarks like Finance Bench, Simple Safety Tests , Copyright Catcher, Humanity’s Last Exam, and more. Our customers include foundation model labs and Fortune 500 enterprises like The Volkswagen Group.

We are backed by top-tier investors like Notable Capital, Lightspeed Venture Partners, Stanford University, and leading researchers at OpenAI, Databricks, and more.

We’re looking for strong engineers - builders who can design and implement complex RL environments end-to-end. You’ll work at the intersection of research, systems engineering, and product, collaborating with infrastructure and research teams to create environments that test and steer model behavior at scale.

You’ll be responsible for turning conceptual specifications into working environments with verifiable reward structures, automated verifiers, task generation pipelines, and reproducible simulations. These environments span from API- and web-based tasks to multi-agent simulations, structured reasoning challenges, and knowledge-work environments used by customers and researchers alike.

In this role, you will:

• Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments
• Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity
• Develop verifiers and reward models to automatically score trajectories and evaluate model reasoning
• Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry
• Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments
• Partner with research and customer teams to translate open-ended specifications into verifiable, testable systems
• Optimize environment performance, logging, and reward reproducibility across distributed setups

Above all, we look for an eagerness to learn, passion for research, creativity in problem solving and a proactive mindset. You are a great fit if you have a background in the following:

• 3+ years experience in software engineering, simulation systems, or ML infrastructure
• Strong command of Python and systems-level programming
• Deep understanding of ML concepts. RL concepts are a plus - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops
• Familiarity with instrumentation, metrics, and data pipelines for evaluation
• Proven ability to translate research or product goals into robust, maintainable systems
• Curiosity and conviction around building environments that steer AGI
• Competitive salary and equity packages
• Health, dental, and vision insurance plans
• 401k plan
• Fun global offsites!

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.