3 days ago
Base Salary
$180k - $230k/yr
Responsibilities
- Improve the quality of AI-generated social and article content using measurable evaluation systems.
- 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.
Requirements
- At least 3 years of experience building production ML or AI systems, including recent hands-on experience 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 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.
Benefits
- Target annual compensation is $180,000 to $230,000 USD.
- Visa sponsorship is available.
- On-site role in San Francisco, California; candidates must be based in or willing to relocate to San Francisco.