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Co-Founder & CTO

Clera · San Francisco

On-site / hybridBackend Today

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PythonAIMachine Learning

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ABOUT THE ROLE Join an early-stage creative AI and advertising company as a full-time technical co-founder and CTO. You will shape technical and research strategy, build a platform that learns from creative workflows and outcomes, and lead the initial engineering and research team. WHAT YOU'LL DO - Set technical and research strategy, evolving existing workflows into a proprietary training and evaluation platform. - Build data infrastructure connecting creative briefs, submissions, generation traces, decisions, critiques, and campaign outcomes. - Develop systems to evaluate, rank, critique, generate, and improve creative work. - Design budget allocation policies that guide campaigns and support useful data collection. - Choose approaches across frontier models, fine-tuning, post-training, reinforcement learning, and original research. - Build reliable infrastructure for creator workflows, campaigns, experimentation, training, and inference. - Establish standards for data quality, consent, privacy, measurement, and model evaluation. - Recruit and lead the first engineering and research team, working directly with creators and brands. WHAT WE'RE LOOKING FOR - Substantial experience in AI research or post-training, including hands-on preference or reward modeling, RLHF, reinforcement learning, or evaluation of subjective outputs. - Experience shipping products or features used by people, and owning a model, evaluation, or infrastructure program end to end. - Strong background in causal inference with observational data, including selection bias, counterfactual or off-policy evaluation, and adaptive experimentation. - Experience with production ML infrastructure and ads, marketplace, recommender, or ranking systems tied to business outcomes. - Comfort learning from noisy, delayed, or subjective outcomes and a record of recruiting and leading technical talent. - Experience with Python and relevant areas such as bandits, sequential allocation, online experimentation, multimodal ML, agents, planning, or hierarchical modeling is valuable. - Willingness to commit full-time, work on-site in San Francisco, and take equal co-founder responsibility in an early-stage environment. COMPENSATION & BENEFITS Equity is approximately 28% as a 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.