Clera

office • USA • c-level • Не указана

### About the Role Join an early-stage AI marketing technology company as an equal technical co-founder, owning research strategy, product development, and team building. You will build a training and evaluation platform for creative AI, using data from a live product to improve how creative work is generated and assessed. ### What You'll Do * Set technical and research strategy, advancing current workflows into a proprietary training and evaluation platform. * Build data infrastructure connecting briefs, submissions, generation traces, decisions, critiques, and campaign outcomes. * Develop systems to evaluate, rank, critique, generate, and improve creative work. * Design allocation policies that direct campaign budgets and inform dataset collection. * Make decisions about 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 initial engineering and research team, and work directly with creators and brands. ### What We're Looking For * Hands-on research or post-training experience at a leading AI research organization, with experience building preference or reward models, RLHF, ranking, or evaluation systems. * Practical reinforcement learning or agent-training experience, plus production ML infrastructure experience. * Experience shipping products or features used by people and owning a model, evaluation, or infrastructure program end to end. * Background in causal inference with observational data, including selection bias, off-policy or counterfactual evaluation, and adaptive experimentation. * Experience with noisy, delayed, or subjective outcomes and ads, marketplace, recommender, or ranking systems tied to business results. * Strong technical recruiting and team leadership experience. Bandits, sequential allocation, multimodal AI, planning, and latent-variable modeling are valuable. * Willingness to work full time, in person, with the commitment and uncertainty of an early-stage co-founder. A specific years-of-experience requirement was not provided. ### Compensation & Benefits Approximately 28% co-founder equity. Cash compensation is discussed based on circumstances and fit. Visa sponsorship is not available. ### Location On-site in San Francisco, California, United States.