
Compensation
Salary undisclosedDescription
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.
Stack
- Posted
- Oct 16, 2026
- Last seen
- Oct 16, 2026
- First seen
- Oct 16, 2026

