True Talent Solutions Partners
Founding Engineer
Founding full-stack engineer owning the recommendation engine of an ad platform for AI entertainment and mobile games — building low-latency ad ranking, ML data pipelines, feature infrastructure, and sub-second serving systems, plus generative agents for ad variants. On-site in San Francisco, $200k–$250k, no visa sponsorship.
- Compensation
- $200K–$250K / yr
- Location
- San Francisco
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 0+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 0 to 3 years of experience appropriate to an early-career founding engineering role
- Shipped at least one ML or AI system to production, building its data architecture, feature pipelines, and serving infrastructure end to end
- Experience with recommendation systems, ranking, or advertising technology
- Familiarity with PyTorch
- Strong backend, machine learning, and infrastructure skills demonstrated through production work or active projects
Nice to have
- Experience in consumer technology, ad infrastructure, or an early-stage startup
- Interest in gaming, including mobile games and reward ads; building games or playable ad formats is a plus
- Experience with AI-native products and mentoring or leading engineers
Full description
About the Role
Own and evolve the recommendation engine behind an advertising platform for AI entertainment and mobile games. This founding, full-stack role spans data pipelines, machine learning, and production serving, with direct impact on ad performance and user experience.
What You'll Do
- Design and ship a low-latency ad ranking system that selects campaigns and creative for each opportunity while balancing advertiser returns and user experience.
- Build data pipelines and feature infrastructure for continuous model training across clicks, installs, and conversions.
- Model user behavior using conversational signals, engagement history, and contextual information such as location, device, and session activity.
- Develop efficient serving infrastructure that meets sub-second latency requirements and tight per-impression cost targets.
- Create generative agents that produce playable and video ad variants, then feed performance data back into the recommendation engine.
What We're Looking For
- Experience appropriate to an early-career founding engineering role, with 0 to 3 years of experience.
- Shipped at least one machine learning or AI system to production, and built its data architecture, feature pipelines, and serving infrastructure end to end.
- Experience with recommendation systems, ranking, or advertising technology, and familiarity with PyTorch.
- Strong backend, machine learning, and infrastructure skills, demonstrated through production work or active projects.
- Experience in consumer technology, ad infrastructure, or an early-stage startup is valuable.
- Interest in gaming, including mobile games and reward ads; experience building games or playable ad formats is a plus.
- Experience with AI-native products and mentoring or leading engineers is helpful.
Compensation & Benefits
Base salary: $200,000 to $250,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, five days per week.