Назад к подготовке
Toloka AI
Фидбек после собеседованияФидбек после собеседования2025-09-30

Toloka AI: ML System Design

System design for checking human/agent task outputs with LLM tools and evaluation metrics.

Аудио и материалы

Аудио собеседования

0:00 / 53:38

Этап 4 из 4Toloka AIML / LLM Agent Engineer2025-09-11 - 2025-09-30
Собеседования в Toloka AI: ML / LLM Agent Engineer

ML System Design в Toloka AI

Выводы и как готовиться

  • The core design is not only an LLM prompt: it needs a structured error taxonomy, evidence gathering and evaluation against human reviewer outputs.
  • Metrics are set-valued and asymmetric: false accepts and false rejects have different operational costs.
  • Manual-review budget is a hard product constraint, not an afterthought.