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.