×
Register Here to Apply for Jobs or Post Jobs. X

Member of Technical Staff - Applied Research

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Patronus AI, Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Member of Technical Staff - Applied Research

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 Finance Bench
, Lynx,
Simple Safety Tests ,
Copyright Catcher
, 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.

As an Applied 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 society’s most impactful research questions surrounding agent simulations, and translate them into rigorous experiments. You will have the opportunity to work on reward design, tool simulations and behavior analysis, shaping the industry standard for robust, high‑quality environments. Your work will inform how frontier labs design, train and improve the next generation of agents for long‑horizon tasks, progressing our path toward safe, human‑aligned general intelligence.

In this role, you will:

  • Solve open‑ended problems in scalable oversight, including agent cognition research, agent behavior analysis and new training methods for efficient RL
  • Drive novel research in RL and environment design, including reward design, trajectory evaluation, interruption handling, observation and state design, tool and action interface design, and curriculum learning
  • Design and validate reward shaping strategies through reward hacking experiments to prevent exploits and ensure robust agent behavior
  • Evaluate and improve agent reasoning in complex, long‑horizon workflows
  • Collaborate closely with engineering to product ionize research, translating ideas into real‑world, high‑impact systems
  • Build world models and state‑of‑the‑art simulation and RL environments to train and evaluate frontier agents
  • Advance agent cognition research across planning, adaptation, and generalization
  • Publish papers, organize workshops and open‐source environments, datasets in collaboration with the evaluation research community
  • Experiment with new models, techniques, and tooling, proactively proposing and running experiments to improve our understanding of agent behaviors, learning signal quality, and RL scaling
  • Produce high‑quality, reproducible, production‑level research code that integrates cleanly into Patronus AI’s systems
  • Evangelize agent simulation and environment research internally and externally, contributing to Patronus AI’s thought leadership in scalable oversight
Qualifications

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:

  • A BS, 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, or alignment.
  • 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 ML frameworks.
  • Ability to execute quickly with minimal guidance while maintaining high research quality.
  • Experience collaborating cross‑functionally with research, engineering, and product teams.
  • Clear written and verbal communication skills, including the ability to explain complex ideas succinctly.
  • Strong integrity, good judgment, and respect for others.
  • Competitive salary and equity packages
  • Health, dental, and vision insurance plans
  • 401(k) plan + matching
  • Sponsored personal tax accounting
  • Whoop band, Oura ring, Function Health
  • Monthly meal stipend
  • Monthly health and wellness stipend
  • 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.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary