What are the responsibilities and job description for the Member of Technical Staff - Research ($175k-$300k + Equity) at Patronus AI position at Jack & Jill?
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job Title
Member of Technical Staff - Research
Salary
$175k-$300k Equity
Company Description
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate human-aligned AGI. Backed by Lightspeed Venture Partners and Notable Capital, the team includes former researchers from Meta AI, Google, and Amazon AGI who have created influential benchmarks like FinanceBench, Lynx, and Humanity's Last Exam.
Job Description
As a Research MTS at Patronus AI, you will drive foundational research defining how agentic AI systems are trained and evaluated. Working at the intersection of reinforcement learning and scalable oversight, you’ll build simulation environments influencing frontier model development. This autonomous role translates open-ended agent cognition questions into rigorous experiments, benchmarks, and high-impact production systems.
Location
San Francisco, USA
Why this role is remarkable
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job Title
Member of Technical Staff - Research
Salary
$175k-$300k Equity
Company Description
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate human-aligned AGI. Backed by Lightspeed Venture Partners and Notable Capital, the team includes former researchers from Meta AI, Google, and Amazon AGI who have created influential benchmarks like FinanceBench, Lynx, and Humanity's Last Exam.
Job Description
As a Research MTS at Patronus AI, you will drive foundational research defining how agentic AI systems are trained and evaluated. Working at the intersection of reinforcement learning and scalable oversight, you’ll build simulation environments influencing frontier model development. This autonomous role translates open-ended agent cognition questions into rigorous experiments, benchmarks, and high-impact production systems.
Location
San Francisco, USA
Why this role is remarkable
- Work alongside a world-class team of former Meta AI, Google, and Amazon AGI researchers who pioneered influential evaluations and published work like FinanceBench and Lynx.
- Tackle the frontier of AGI alignment by designing state-of-the-art simulation environments and reinforcement learning methods to stress-test the next generation of agents.
- Benefit from significant backing by top-tier investors including Lightspeed, Notable Capital, and Stanford, while partnering with major customers like Adobe and foundation labs.
- Lead ambitious research projects end-to-end, from formulating open-ended problems in agent cognition to executing experiments with reinforcement learning and scalable oversight.
- Design and build sophisticated RL environments and simulation frameworks that evaluate agent trajectories, reasoning, and long-horizon planning capabilities.
- Train frontier models using post-training algorithms like GRPO and SFT, performing rigorous ablations to understand the impact of chain-of-thought reasoning and rewards.
- Holds an MS or PhD in Computer Science or a related quantitative field with deep expertise in reinforcement learning, NLP, or agentic systems.
- Demonstrates a proven track record of taking open-ended research problems from concept to high-impact outcome with clean, reproducible Python code.
- Possesses the gumption to execute quickly and independently in a fast-paced environment while maintaining a high bar for experimental rigor and scientific integrity.
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack's an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Salary : $175,000 - $300,000