14 hours ago
Base Salary
$180k - $230k/yr
Responsibilities
- Improve agent output and content quality across social platforms and article writing.
- Design and use evaluation systems to measure results and improve search engine optimization and generative engine optimization performance.
- 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.
- Own and ship applied AI work in an early-stage startup or small team.
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 evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.
- Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with an end-to-end shipping track record.
- Production experience in applied AI, including LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
- Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.
- Strong research or applied AI achievements.
- Search, ranking, or AI answer engine experience is valuable; marketing or go-to-market experience is a plus, and recommendation systems, algorithms, and reinforcement learning are relevant backgrounds.
Benefits
- Annual base 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.