Co-Founder & CTO

CLERA; San Francisco (CA); On-site; USD 120,000 - 260,000; Full time

Benefits offered by this job

Co-founder equity

Job summary

Clera Labs, Inc. in San Francisco, CA, seeks an equal technical co-founder to own research strategy, product development, and team building around a training/evaluation platform for creative AI.

You will lead data infrastructure, model evaluation, and dataset policies, partnering with creators and brands, with equity and cash compensation discussed based on fit and needs.

Qualifications

• Hands-on research at a leading AI lab or company.
• Experience shipping end-to-end ML features or products.
• Background in causal inference and experimentation.

Responsibilities

• Set research and technical strategy for a training/evaluation platform.
• Build data infra linking briefs, submissions, traces, outcomes.
• Develop systems to evaluate, rank, critique, generate, and improve creative work.
• Design allocation policies for budgets and data collection.
• Decide on frontier models, fine-tuning, RL, and original research.
• Create infrastructure for creator workflows, campaigns, experiments, training, inference.
• Establish data quality, consent, privacy, measurement, and model evaluation standards.
• Recruit and lead initial engineering/research team and collaborate with creators/brands.

Skills

AI research leadership

RLHF / reward models

Reinforcement learning

Production ML infra

Team building

Job description

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.