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Co-Founder & CTO

On-site
CleraSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

Join an AI-powered creative advertising company as a full-time technical co-founder and own its technical and research direction. You will develop a proprietary platform for training and evaluating creative AI, building on existing product workflows and real-world feedback.

What You'll Do

  • Set technical and research strategy, from current workflows through the development of a training and evaluation platform.

  • Build data infrastructure connecting creative briefs, submissions, generation traces, decisions, critique, and campaign outcomes.

  • Develop systems to evaluate, rank, critique, generate, and improve creative work.

  • Design allocation policies that direct campaign budgets and support useful data collection.

  • Make decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.

  • Build reliable production infrastructure for creative workflows, experimentation, training, and inference.

  • Set standards for data quality, consent, privacy, measurement, and model evaluation.

  • Recruit and lead the first engineering and research team, and work directly with creators and brands.

What We're Looking For

  • Typically 3 to 20 years of relevant experience, with hands-on experience building preference or reward models, RLHF, ranking, or evaluation systems.

  • Experience applying causal inference to observational data, including selection bias, counterfactual or off-policy evaluation, and adaptive experimentation.

  • Have shipped products or features used by people and worked on production ML tied to business outcomes, such as ads, marketplaces, recommenders, or ranking.

  • Strong Python and production ML infrastructure experience, plus ownership of a model, evaluation, or infrastructure program end to end.

  • Experience with noisy, delayed, or subjective outcomes; bandits, sequential allocation, multimodal systems, or agents is valued.

  • Track record recruiting and leading technical talent, and willingness to commit full-time as an equal co-founder in an early-stage environment.

Compensation & Benefits

Approximately 28% equity as an equal co-founder. Cash compensation is discussed based on circumstances and fit. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.

Stack

PythonMachine LearningFine-tuningReinforcement LearningMultimodal
Posted
Oct 2, 2026
Last seen
Oct 2, 2026
First seen
Oct 2, 2026

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