5 часов назад
Senior AI Engineer (LLM Evals)
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM Evals): Building foundational evaluation frameworks and quality systems for a personalized AI assistant with an accent on multi-step agent trajectory measurement. Focus on designing golden datasets, implementing model routing, and ensuring measurable performance improvements across all product surfaces.
Location: Must be based in San Francisco, CA (On-site, 5 days/week)
Compensation: $250,000 – $300,000 per year
Company
is an AI startup building a highly personalized, persistent AI assistant that learns from user identity and behavior to perform real-world tasks across various tools.
What you will do
- Build a generalized evaluation system to measure assistant quality across multi-step agent trajectories.
- Develop golden datasets and a labeling loop to validate improvements and prevent regressions.
- Implement model routing and online evaluation tooling to optimize for cost, quality, and speed.
- Instrument quality metrics across the product to ensure every system change is measurable.
- Partner with engineering teams to close the loop from signal to fix.
Requirements
- Must be based in San Francisco and able to work 5 days a week in the Financial District office.
- Proven experience building or owning LLM evaluation systems or quality measurement at scale.
- Strong background in MLE or applied machine learning with a rigorous approach to measurement.
- Hands-on experience with the evaluation landscape, off-the-shelf tooling, and frameworks.
- Ability to reason about model routing and tradeoffs between different models.
- Senior or staff-level experience comfortable working in a greenfield environment.
Culture & Benefits
- Talent-dense team founded by former leaders from Plaid and Google.
- Well-funded startup backed by top-tier investors including Andreessen Horowitz and First Round Capital.
- Opportunity to own foundational 0-to-1 infrastructure for a high-impact AI product.
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