MediaRadar, Inc.
MediaRadar, Inc.
201 – 500 Қызметкерлер
SaaSЖарнамаМаркетинг
MediaRadar, Inc. — медиа сатушыларына, жарнама берушілерге және агенттіктерге арналған жарнамалық талдау құралдарын әзірлейтін маркетинг және жарнама саласындағы SaaS компаниясы. Оның платформасы 4 миллионнан астам бренд пен оларға қатысты байланыстар туралы деректерді біріктіріп, командаларға әлеуетті клиенттерді анықтауға, жарнамалық белсенділікті бағалауға, медиа инвестицияларын жоспарлауға, сатып алу туралы шешімдерді қолдауға және сату тиімділігін арттыруға көмектеседі. MediaRadar жарнама технологиялары экожүйесінде медиа-миксті жоспарлау мен кіріске бағытталған шешім қабылдау үшін жарнама деректерін практикалық түсініктерге айналдыру мақсатында жасанды интеллект негізіндегі талдауды қолданады.

AI Engineer – Madrid Hybrid

Build scalable machine learning, retrieval-augmented generation, and multi-agent systems for MediaRadar’s advertising intelligence platform. Develop attribution models, vector search capabilities, and observable AI workflows.

Сипаттама

  • Independently design and deliver scalable machine learning solutions
  • Develop and refine classification and attribution systems for complex datasets, including ad creatives and global brand deduplication
  • Apply chain-of-thought prompting techniques and build multi-agent workflows
  • Improve vectorization performance and handle database migrations with Alembic
  • Maintain high-throughput data ingestion pipelines with limited supervision
  • Add guardrails and Langfuse observability to support explainable, reliable AI outputs
  • Use AI coding tools and large language models to improve engineering productivity

Талаптар

  • A strong degree in Computer Science or Telecommunications
  • Expertise in clean code, software architecture, and scalable system design
  • Active hackathon participation or a portfolio of ambitious personal projects
  • Ability to work effectively in international roles with limited supervision and without constant lead support
  • Advanced Python skills, including typing, asynchronous programming, and performance optimization
  • Deep knowledge of SQL and vector databases, including pg_trgm and HNSW
  • Experience building and deploying RAG pipelines and LLM agents
  • Knowledge of vision-based machine learning, window-context detection, and scaling multi-agent systems

Артықшылықтар

  • Inclusive and accessible workplace
  • Equal Opportunity Employer
  • Reasonable accommodations available during the application and interview process

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