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Co-Founder & CTO

On-site
CleraSan Francisco, CA, US20 hours agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

Join the founding team of a creative AI advertising technology company as its technical and research leader. You will shape the technical direction and build a proprietary platform for training and evaluating AI systems that create and improve advertising content, informed by real creator and campaign data.

What You'll Do

  • Set technical and research strategy, taking existing creative workflows toward a proprietary training and evaluation platform.

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

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

  • Design allocation policies for campaign budgets that also support useful data collection.

  • Make decisions about 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.

What We're Looking For

  • At least 3 years of relevant experience and hands-on experience building preference or reward models, including RLHF, ranking subjective outputs, or evaluation systems.

  • Experience shipping production products, building production ML infrastructure, and owning a model, evaluation, or infrastructure program end to end.

  • Background in causal inference on observational data, such as selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.

  • Experience with ads, marketplaces, recommenders, or ranking systems tied to business outcomes, including noisy or delayed feedback.

  • Strong skills in Python and production machine learning; experience with bandits, sequential allocation, online experimentation, multimodal systems, or agents is valuable.

  • Ability to recruit and lead technical talent and commit full time to an early-stage co-founder role, with an expected 6 to 7 days per week.

Compensation & Benefits

Equity is approximately 28 percent 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 16, 2026
Last seen
Oct 16, 2026
First seen
Oct 16, 2026

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