About the role
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.
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