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Job description
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.