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Open nowPosted 13 hours agoWe saw it 95 min after it went up

Co-Founder & CTO

Clera290 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowCo-Founder & CTOClera · San Francisco

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 13 hours ago

Clera median: 5 days open

The posting

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.

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