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# Co-Founder & CTO

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Salary:** $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Recommender Systems, Reinforcement Learning, Model Validation
- **Published:** September 30, 2026
- **Apply:** https://startup.jobs/co-founder-cto-clera-10219381

## About the Role

* Hands-on experience building preference or reward models, including RLHF, reward modeling, ranking subjective outputs, or evaluation systems.
 * Strong grounding in causal inference on observational data: selection bias, off-policy or counterfactual evaluation, adaptive experimentation, or validating a cheap proxy against an expensive delayed outcome.
 * Production ML at scale in ads, marketplace, recommender, or ranking systems tied to real business outcomes.
 * Experience with bandits, sequential allocation, or online experimentation in production.
 * Track record shipping real products or features used by real people, not research that stayed in papers or prototypes.
 * Background at a frontier AI lab or research organization of comparable caliber is a strong positive signal.
 * Experience with multimodal generation, agents, planning systems, or latent-variable modeling is valued.
 * Proven ability to recruit and lead strong technical talent and own programs end to end.
 * Prior founder experience is a plus.
 * Ready to commit fully (6 to 7 days per week) as an equal co-founder, comfortable with early-stage uncertainty and full ownership of technical strategy.

## Description

This is a true co-founder seat, not a senior hire, at an early-stage creative AI and marketing technology company with a live product already generating rich preference data from real brand campaigns. You will own the entire technical and research vision, from today's creator workflows to a proprietary training and evaluation platform for creative AI agents. The role exists because the data and research opportunity here is unlike anything available at larger organizations., * Own technical and research strategy, defining the path from current workflows to a proprietary training and evaluation platform.

 * Build data infrastructure that connects briefs, submissions, generation traces, decisions, critique, and campaign outcomes.
 * Design systems that evaluate, rank, critique, generate, and improve creative work.
 * Develop the allocation policy that directs campaign budget and simultaneously shapes dataset collection.
 * Make core decisions on frontier model usage, fine-tuning, post-training, reinforcement learning, and original research directions.
 * Set standards for data quality, consent, privacy, measurement, and model evaluation.
 * Recruit and lead the first engineering and research team.
 * Work directly with creators, brands, and investors as a company representative.