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.
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.
Similar Jobs
Artificial Intelligence • Productivity • Software • Design
Early-stage growth role owning channel experiments, activation/conversion/monetization funnels, marketing budget and ROI, brand and narrative, influencer/UGC/referral programs, and enterprise customer engagement to create case studies and upsell opportunities.
Artificial Intelligence • Productivity • Software • Design
Build core product features across Python backend and TypeScript frontend, develop a WebGPU-based rendering engine and canvas, architect AI agents for design generation and editing, and maintain evaluation and RL pipelines. Work across product, graphics, and AI, owning end-to-end technical problems and shipping high-quality user-facing product features.
Top Skills:
Ai AgentsMachine LearningPythonReinforcement LearningTypescriptWebgpu
Artificial Intelligence • Productivity • Software • Design
Build and improve state-of-the-art agent systems: design RL/RLHF learning pipelines, create custom environments, set up robust evaluation, train smaller task-specific models, leverage open-source text and image models, and help shape technical and hiring strategy alongside founders.
Top Skills:
Ai AgentsMachine Learning FrameworksOpen-Source Image ModelsOpen-Source Text ModelsPythonReinforcement LearningRlhf
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
