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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.
Responsibilities
- Design and ship a low-latency ad ranking system that selects campaigns and creative for each opportunity while balancing advertiser performance and user experience.
- Build data pipelines and feature infrastructure for ongoing model training across signals such as clicks, installs, and conversions.
- Model user behavior and context using engagement history, conversational data, and signals such as geography, device, and session activity.
- Develop efficient ad-serving infrastructure designed for sub-second latency and cost-conscious operation.
- Build generative agents that create playable and video ad variants, and feed their performance back into the recommendation system.
Requirements
- Typically 0 to 3 years of experience, with demonstrated ability to own substantial engineering work.
- Experience shipping an ML or AI system to production, ideally owning the full path from data pipelines and model training through serving.
- Strong backend, data infrastructure, and production serving skills, including experience with systems operating at significant scale.
- Ability to reason from first principles and work across infrastructure, classical machine learning, and AI agents.
- Experience with recommendation systems, ranking, advertising technology, or consumer products is useful.
- Gaming interest and experience with playable ads are also valued.
- PyTorch experience and an active GitHub profile or shipped side projects demonstrating technical work are welcome.
- Must be a U.S. citizen or permanent resident.
- Must be able to work on-site in San Francisco five days per week.
Skills
- Recommendation systems
- Ranking
- Advertising technology
- Consumer products
- Gaming
- Playable ads
- PyTorch
- GitHub
- Backend
- Data infrastructure
- Production serving
- Machine learning
- AI agents
- Generative agents
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 0 to 3 years
Salary/Compensations
- $200,000 to $250,000 annually
Benefits
- Equity
About the Company
- Small, early-stage team building an advertising technology platform.