Founding Engineer
True Talent Solutions Partners
Invite-only right now: save jobs, track applications, build tailored resumesAlready have an account? Log in
- Pay
- $200K to $250K
- a year
- Location
- San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 21
- Today
Career path
See where this role leads
Jigup maps the next three moves from a job like this one, with the titles and the skills each step asks for.
What you'll do
- Design and ship low-latency retrieval and ranking systems for interactive ad delivery.
- Build scalable data pipelines and generative agent infrastructure to optimize ad performance and user experience.
What you need
- Requires 0 to 3 years of experience with hands-on production experience in machine learning or AI systems.
- Candidates must possess strong generalist engineering skills across backend, infrastructure, and data architecture.
Key skills
Machine LearningArtificial IntelligenceBackend SystemsData ArchitectureFeature PipelinesInfrastructurePyTorchRecommendation SystemsRanking SystemsAdvertising TechnologyLow-latency SystemsGenerative AgentsData PipelinesSoftware EngineeringSystem Design
Keywords for your resumePro
The words this employer's screening is likely to look for.
This job lists resume keywords
The terms this posting uses, pulled out so you can mirror them in your resume. Jigup Pro members see the list on the job board.
See full description on company page, apply now
Read the full posting here
About the Role
Join an early-stage advertising technology team building an ad recommendation and serving platform for AI entertainment and mobile gaming. As a Founding Engineer, you will own systems that select and deliver relevant interactive ads in real time, working across data, machine learning, and production infrastructure.
What You'll Do
Design and ship low-latency retrieval, ranking, and reranking systems that select campaigns and creative while balancing advertiser performance with user experience.
Build data pipelines and feature infrastructure for continuous model training across clicks, installs, and conversions.
Develop user and context representations from conversational signals, engagement history, device, location, session, and interaction data.
Build cost-efficient serving infrastructure that meets sub-second latency requirements.
Create generative agents that produce playable and video ad variants, and feed performance signals back into recommendation systems.
What We're Looking For
Typically 0 to 3 years of experience, with hands-on experience shipping at least one machine learning or AI system to production.
End-to-end experience building data architecture, feature pipelines, and serving infrastructure, in addition to developing models.
Strong generalist engineering skills across backend systems, machine learning, and infrastructure, with experience using PyTorch.
Experience with recommendation systems, ranking, or advertising technology is valuable.
Active GitHub or side projects demonstrating work across backend, ML, and infrastructure.
Interest in gaming, including experience with League of Legends or mobile games and rewarded ads.
Consumer technology or advertising infrastructure experience is relevant.
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.