C
On-siteFull-timeExecutiveEngineeringNo visa sponsorship
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Remote · United States
$152K–$289K/yr
Estimate — the employer hasn't published pay.
Based on 10 similar executive Engineering (General) jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
Engineering (General) salaries →Join an AI-powered creative advertising startup as a full-time technical co-founder and CTO. You will own the technical and research direction, building on an existing product to develop systems that learn from creative work and its real-world performance.
Set the technical and research strategy, from current workflows through a proprietary training and evaluation platform.
Build data infrastructure connecting creative briefs, submissions, generation traces, decisions, feedback, and campaign outcomes.
Develop systems to evaluate, rank, critique, generate, and improve creative work.
Design allocation policies that direct campaign budgets and inform data collection.
Choose where to apply 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.
At least 3 years of relevant experience, with hands-on work building preference or reward models, including RLHF, ranking, or evaluation systems.
Experience with causal inference on observational data, such as selection bias, off-policy evaluation, counterfactual analysis, or adaptive experimentation.
A track record of shipping products used by people, building production ML infrastructure, and owning model, evaluation, or infrastructure programs end to end.
Background in ads, marketplaces, recommenders, or ranking systems tied to business outcomes, including experience with noisy, delayed, or subjective feedback.
Strong technical leadership and recruiting experience. Bandits, sequential allocation, multimodal systems, agents, or latent-variable modeling are valuable.
Ready to work full time, in person, as an equal co-founder in an early-stage environment.
Equity of approximately 28% as a co-founder. Cash compensation is discussed based on circumstances and fit. Visa sponsorship is not available.
On-site in San Francisco, California.