Founding Member of Technical Staff, Research
San Francisco, CAFull-time$120–250K/yrSeen todayStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
LATO is building agents to automate market research, from selecting participants to analyzing responses and simulating markets. The founding research team uses machine learning, statistics, and behavioral science to build and improve these simulations, develop autonomous research agents, and train and test models. The company describes its team as intentionally small, with each person shaping the company.
Skills & qualifications
Skills
Qualifications
Full job description
Help us recreate any market Every investment, launch and expansion is a bet on how people will behave, and the world spends over $150 billion a year researching those bets. All of that research will be done by agents, and whoever builds the system that runs it will be one of the defining companies of the AI era. We intend to be that company. Our agents run the whole research process, from deciding who to ask to analysing the answers. Each conversation feeds simulations of entire markets, so decisions can be tested before they’re made. To get there, we’re building a small team of exceptional people. We stay lean by design, so every person shapes what LATO becomes: a generational company, and the best work of your career. What you’ll do
- use the latest methods from machine learning, statistics and the behavioural sciences to build, evaluate and improve simulations of people and markets
- build self-improving autoresearch agents that work as autonomous social science researchers
- fine-tune models, and design the RL environments, datasets and evals that train and test them
You might be a good fit if you have
- an advanced degree in computer science, mathematics, physics or a related discipline
- a track record of exceptional research
- strong quantitative skills, with experience building evals or running experiments
- strong programming and system design skills
How this job compares
Set against the 4,653 open Researcher jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$120–250K/yr
- California median$150–240K/yr432 salary ranges
- US median$102–148K/yr2,116 salary ranges
This range's midpoint, $185K, is 7% below the California median midpoint ($200K) — in the middle half of Researcher salary ranges in California.
- Openings
- Olive Jobs lists 745 open Researcher jobs in California and 4,653 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- University of Southern California53 open
- Google50 open
- OpenAI48 open
- Experience
- This posting asks for no prior experience — less than three in four Researcher postings that state a minimum ask for (median 4 years, across 1,500 postings).
- Education
- This posting asks for a master's degree; 2,311 of the 4,653 open Researcher jobs (50%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
