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We simulate the future by understanding the past through multimodal data.
The Role
Join as a founding full-stack engineer building AI simulation products. Work on web frontend (TypeScript, Next, React), data stacks and scraping, run experiments on simulation engines, and build infrastructure like research tooling, CI/CD, and internal code-review tooling. Focus on scalable data systems or reusable frontend component libraries.
Summary Generated by Built In
ABOUT REHEARSALS
WHAT YOU'LL DO
WHAT WE'RE LOOKING FOR
PERKS & BENEFITS
CULTURE
BONUS POINTS
COMPENSATION
The team is ex-DeepMind, ex-Databricks, and ex-Stanford. We launched the first Gemini API, designed Google Lens, post-trained state-of-the-art coding models, started companies that have been acquired, and been awarded more than 25 patents.
Rehearsals is the only company that builds AI twins of real people. Companies use our technology to predict consumer behavior and reactions at scale, in hours instead of months, with 92% accuracy to what real people would do.
We are backed by a16z (Speedrun Fund), Factorial Fund, and 25madison, along with angel investors from DeepMind and OpenAI including Logan Kilpatrick. Revenue is growing 3x month over month. We work with category leaders across CPG, luxury goods, consumer technology, and gaming.
You will be on the founding team, building your life's work. We hire for four things: ownership, agency, craft, and conscientiousness.
- Build the full-stack experience of how the world will experience the future of AI simulations in a modern web dev stack (TypeScript, Next, React).
- Work on our data stack, including being the in-house expert on data scraping.
- Run experiments to improve our revealed preference and simulation engines.
- Work on infrastructure such as research tooling, CI/CD, and internal code review agents that scales our impact.
We are particularly interested in engineers with strong foundations who have a particular aptitude in either data or frontend. This could include either or both of:
- Architecting extensible and highly performant systems for processing and storing massive datasets at scale.
- Driving the development of beautiful frontends by creating a library of thoughtfully composed, reusable components.
Ultimately your overall capability is the most important thing. Amazing generalists are always exciting to us.
- Bachelor's degree in Computer Science, Math, Physics, or equivalent experience.
- 3+ years of experience (open source contributions count).
- A track record of shipping quality software and infrastructure in production.
- Ability to work 5 days in-person in our NYC office.
- Highly competitive pay and equity.
- M4 MacBook Pro.
- Top-tier healthcare, dental, and vision.
- $1,000/month for food and a gym membership.
- Relocation if you are moving to New York.
We are not a 40-hour-a-week company. Everyone here works hard, moves fast, and takes full ownership. We care deeply about what we are building and about building it together.
Want to stand out? Go to rehearsalsresearch.com and go through one of our interviews before we talk. It is the fastest way to feel how we turn real people into twins. Come tell us what you thought.
The base pay range for this role is $140,000 to $500,000 per year.
Skills Required
- Bachelor's degree in Computer Science, Math, Physics, or equivalent experience
- 3+ years of engineering experience (open source contributions count)
- Track record of shipping quality software and infrastructure in production
- Experience building full‑stack web applications with TypeScript, Next.js, and React
- Expertise in data scraping and working with large-scale data processing systems
- Ability to work five days in-person in the NYC office
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The Company
What We Do
At Rehearsals, we simulate the future by understanding the past through multimodal data. We help organizations uncover why people act, why they drop off, and what to build next. By modeling real-world behavior, we aim to predict what’s coming, and empower companies to build what matters. Our team includes alumni from DeepMind, Databricks, and Apple, and we’re backed by a16z, 25Madison, and Factorial Fund. We work with Fortune500 enterprises and Series B+ startups to help them make smarter, faster decisions.
Why Work With Us
We have a cracked AI team, the best investors in the world, and customers who are dying to use our product. And this all happens with a fun in-person work culture with people who work hard and play hard.
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