3+ years of experience in building production ML or AI systems, particularly with LLM products or agents.
Experience in designing evaluations and learning from outcome signals at scale.
Proficient in TypeScript (including Next.js) and Python for data analysis and model work.
Applied AI experience in areas like LLM reasoning, generative AI, or machine learning research.
Proven track record of improving production AI systems in a startup or small-team environment.
Background in a leading AI lab or research program, showcasing technical depth.
Familiarity with search, ranking, or AI answer engines; marketing experience is a plus.
Responsibilities
Enhance the quality of agent-generated content for social media and articles using measurable evaluation systems.
Boost performance in search engine optimization and generative engine optimization.
Develop feedback loops to enable agents to learn from real-world results.
Refine production AI infrastructure, agent architecture, and model strategy.
Lead the hiring and development of the AI team as the company expands.
Benefits
Visa sponsorship available.
Full Job Description
About the Role
As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape agent architecture, evaluation systems, and learning loops, and help build the AI team as the company grows. What You'll Do
Improve the quality of agent-generated content for social channels and articles, using evaluation systems to make quality measurable.
Improve performance across search engine optimization and generative engine optimization.
Build feedback loops that help agents learn from real-world results and performance signals.
Improve production AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
Help hire and lead the AI team as it grows.
What We're Looking For
At least 3 years of experience building production ML or AI systems, including recent hands-on work shipping LLM products or agents.
Experience designing evaluations and learning from outcome signals at scale in search, ranking, recommendations, or related areas.
Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with a track record of shipping end to end.
Production applied AI experience in areas such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendations, algorithms, or machine learning research.
Experience improving production AI systems and owning work in a startup or small-team environment.
Background at a leading AI lab or research program, or another achievement demonstrating comparable technical depth.
Experience with search, ranking, or AI answer engines is valuable. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are also relevant.
Compensation & Benefits
Target annual compensation is $180,000 to $230,000 USD. Visa sponsorship is available. Location
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.
