2 hours ago
Base Salary
$180k - $230k/yr
Responsibilities
- Improve agent outputs and content quality across social channels and article writing.
- Build evaluation systems that make agent quality measurable.
- Improve search engine optimization and generative engine optimization performance.
- Build feedback loops using real-world results and performance signals.
- Improve 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 machine learning or AI systems, including recent hands-on experience shipping LLM products or agents.
- Experience designing evaluation systems and using outcome signals at scale in search, ranking, recommendations, or related domains.
- Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with end-to-end shipping ability.
- Production experience with applied AI, including areas such as LLM reasoning, post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
- Experience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.
- Ownership experience in a startup or small team, plus experience with search, ranking, or AI answer engines, particularly Google.
- Experience at a leading AI lab or comparable evidence of technical achievement is valued; marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are relevant strengths.
Benefits
- Target annual compensation is $180,000 to $230,000 USD.
- Visa sponsorship is available.
- On-site role in San Francisco, California.
