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# technical co-founder and CTO.

- **Company:** AI Powered LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Infrastructure, Reinforcement Learning, Model Validation, Machine Learning Operations
- **Published:** October 12, 2026
- **Apply:** https://startup.jobs/co-founder-cto-clera-10376465

## About the Role

* At least 3 years of relevant experience, with hands-on work building preference or reward models, including RLHF, ranking, or evaluation systems.
 * Experience with causal inference on observational data, such as selection bias, off-policy evaluation, counterfactual analysis, or adaptive experimentation.
 * A track record of shipping products used by people, building production ML infrastructure, and owning model, evaluation, or infrastructure programs end to end.
 * Background in ads, marketplaces, recommenders, or ranking systems tied to business outcomes, including experience with noisy, delayed, or subjective feedback.
 * Strong technical leadership and recruiting experience. Bandits, sequential allocation, multimodal systems, agents, or latent-variable modeling are valuable.
 * Ready to work full time, in person, as an equal co-founder in an early-stage environment.

## Description

Join an AI-powered creative advertising startup as a full-time technical co-founder and CTO. You will own the technical and research direction, building on an existing product to develop systems that learn from creative work and its real-world performance., * Set the technical and research strategy, from current workflows through a proprietary training and evaluation platform.

 * Build data infrastructure connecting creative briefs, submissions, generation traces, decisions, feedback, and campaign outcomes.
 * Develop systems to evaluate, rank, critique, generate, and improve creative work.
 * Design allocation policies that direct campaign budgets and inform data collection.
 * Choose where to apply frontier models, fine-tuning, post-training, reinforcement learning, and original research.
 * Build reliable infrastructure for creator workflows, campaigns, experimentation, model training, and inference.
 * Set standards for data quality, consent, privacy, measurement, and model evaluation.
 * Recruit and lead the first engineering and research team, while working directly with creators and brands.