ABOUT THE ROLE
Join an early-stage AI creative technology company as an equal, full-time co-founder and CTO. You will set the technical and research direction and build a platform that learns to evaluate and improve creative work using real-world feedback.
WHAT YOU'LL DO
- Own the 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 allocation policies that direct campaign budgets while informing data collection.
- Make technical decisions about frontier models, fine-tuning, post-training, reinforcement learning, and original research.
- Build production infrastructure for creator workflows, campaigns, experimentation, training, and inference.
- Set 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
- Substantial hands-on experience in research or post-training at a leading AI lab or comparable research organization, including training agents or working with reinforcement learning.
- Practical experience building preference or reward models, including RLHF, ranking subjective outputs, or evaluation systems.
- Experience shipping products or features used by people, plus building production ML infrastructure.
- Background in causal inference on observational data, including selection bias, off-policy or counterfactual evaluation, and adaptive experimentation.
- Experience with ads, marketplace, recommender, or ranking systems tied to business outcomes, and learning from noisy, delayed, or subjective feedback.
- Experience owning model, evaluation, or infrastructure programs end to end and recruiting and leading technical teams.
- Production experience with bandits or online experimentation, multimodal ML, agents, planning, or latent-variable modeling is valuable.
- Willingness to commit full-time to an early-stage co-founder role, with significant responsibility and uncertainty.
COMPENSATION & BENEFITS
Equity is approximately 28% 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.
