San Francisco, California, United States · On-site
$175k–$300k/yr
Senior$70M raised
About Patronus AI Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence. We are t…
Skills: Reinforcement learning, Agentic systems, AI evaluation, Python, Machine learning
Member of Technical Staff - Senior Software Engineer
San Francisco, California, United States · On-site
$150k–$300k/yr
Senior$70M raised
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San Francisco, California, United States · On-site
$125k–$200k/yr
Mid level$70M raised
About Patronus AI Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence. We are t…
San Francisco, California, United States · On-site
$125k–$250k/yr
Mid level$70M raised
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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Senior+
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San Francisco, California, United States · Remote OK
Entry level
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San Francisco, California, United States · On-site
$58/hr–$82/hr
Senior+$1.2B raised
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Remote OK
$200k–$250k/yr
Senior$100M raised
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
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Skills: Developer Relations, Technical Strategy, Developer Experience, AI/ML, API
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Technical Program Management, Reinforcement Learning, Machine Learning Engineering, Data Pipelines, Infrastructure Management
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Technical Documentation and Content Engineer, Claude Docs
San Francisco, California, United States · Hybrid
$270k–$320k/yr
SeniorVisa sponsorship$129B raised
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Technical Writing, Information Architecture, Software Engineering, Python, TypeScript
You will own and drive foundational research in agentic AI, focusing on training, evaluation, and simulation systems. This involves designing rigorous experiments and building production-level research systems to advance human-aligned general intelligence.
Requirements
Candidates must hold an MS or PhD in a quantitative field and possess experience in reinforcement learning or agentic systems. You should demonstrate the ability to execute independent research and write high-quality, reproducible Python code.
Full job description
About Patronus AI
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.
Responsibilities
As a Researcher at Patronus AI, you will own and drive foundational research that defines how agentic AI systems are trained, evaluated, and improved. You will work at the intersection of reinforcement learning, simulations, and scalable oversight, building systems that directly influence how frontier models are developed, stress-tested, and deployed.
This is a highly autonomous role. You will tackle open-ended research questions surrounding agent simulations and translate them into rigorous experiments, benchmarks, environments, and production systems. You will work across areas including reward design, tool simulations, agent cognition, behavior analysis, and scalable oversight, helping shape the industry standard for robust, high-quality environments.
Your work will inform how frontier labs design, train, evaluate, and improve the next generation of agents for complex, long-horizon tasks, advancing our path toward safe, human-aligned general intelligence.
In this role, you will:
Own ambitious research projects end-to-end, from identifying and formulating open-ended problems through experiment design, execution, analysis, and production impact.
Advance research in agent simulation, reinforcement learning, and scalable oversight, including agent cognition, behavior analysis, reward design, and new training methods.
Design state-of-the-art simulation and RL environments for training and evaluating frontier agents, spanning tools and actions, observations and state, trajectories, curricula, and reward systems.
Train models and experiment with post-training algorithms, including GRPO and SFT. Run ablations with open source models and understand the impact of distillation, COT reasoning, sparse and dense rewards and hyperparameters.
Develop methods to understand and improve agent behavior across complex, long-horizon tasks, including reasoning, planning, adaptation, generalization, and reward hacking.
Run rigorous experiments and turn findings into measurable outcomes, including new techniques, benchmarks, datasets, environments, platform capabilities, and research publications.
Build high-quality, reproducible research systems, writing production-level code and partnering closely with engineering and product to translate research into real-world systems.
Contribute to Patronus AI’s research direction and thought leadership, staying at the frontier of the field, collaborating with the research community, and publishing or open sourcing our work.
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 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:
An MS or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.
Experience conducting independent research in reinforcement learning, NLP, agentic systems, evaluation, alignment, or related areas.
Demonstrated ability to take open-ended research problems from 0→1 and deliver high-impact outcomes.
Strong experimental skills, including experiment design, analysis, and interpretation of results.
Experience writing clean, reproducible research code in Python and modern machine learning frameworks.
Ability to execute quickly and independently with minimal guidance while maintaining a high bar for research quality.
Experience collaborating cross-functionally with research, engineering, and product teams.
Clear written and verbal communication skills, including the ability to explain complex technical ideas succinctly.
Strong integrity, good judgment, and respect for others.
To support close collaboration, this role is based in our San Francisco headquarters and requires in-office attendance five days a week.
The expected base salary range for this role is $175,000 - $300,000 USD. In addition to base salary, we offer equity and benefits. Actual compensation will be determined based on experience, qualifications, skills, and location.
Benefits
Competitive salary and equity packages
15 days of paid vacation per annum
Parental & sick leave
Health, dental, and vision insurance plans
401(k) plan + matching
In-office lunch & dinner
Whoop band
Monthly meal stipend
Monthly health and wellness stipend
Equinox membership
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.
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are training the first world models to simulate digital workflows. Our mission is to simulate all of the world’s intelligence.
We are the company behind the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, and CopyrightCatcher. We are backed by top-tier investors like Notable Capital, Lightspeed Venture Partners, Stanford University, Datadog, Noam Brown, Gokul Rajaram, and more.
Offices: San Francisco, California, US
Information TechnologyConsultingSoftwareProduct ResearchNetwork SecurityFinancial ServicesAgentic AIArtificial Intelligence (AI)
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