About the Role
Join a small, early-stage team building an advertising technology platform. As Founding Engineer, you will own and develop the production recommendation system, with impact across data, machine learning, and real-time ad delivery.
What You'll Do
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Design and ship a low-latency ad ranking system that selects campaigns and creative for each opportunity while balancing advertiser performance and user experience.
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Build data pipelines and feature infrastructure for ongoing model training across signals such as clicks, installs, and conversions.
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Model user behavior and context using engagement history, conversational data, and signals such as geography, device, and session activity.
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Develop efficient ad-serving infrastructure designed for sub-second latency and cost-conscious operation.
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Build generative agents that create playable and video ad variants, and feed their performance back into the recommendation system.
What We're Looking For
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Typically 0 to 3 years of experience, with demonstrated ability to own substantial engineering work.
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Experience shipping an ML or AI system to production, ideally owning the full path from data pipelines and model training through serving.
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Strong backend, data infrastructure, and production serving skills, including experience with systems operating at significant scale.
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Ability to reason from first principles and work across infrastructure, classical machine learning, and AI agents.
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Experience with recommendation systems, ranking, advertising technology, or consumer products is useful; gaming interest and experience with playable ads are also valued.
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PyTorch experience and an active GitHub profile or shipped side projects demonstrating technical work are welcome.
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Must be a U.S. citizen or permanent resident and able to work on-site in San Francisco five days per week.
Compensation & Benefits
Base salary is $200,000 to $250,000 annually, plus equity. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States, five days per week.
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