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NewsBreak

Applied AI Engineer, Advertising Agents

Mountain View, California, United StatesFrom $185kmidAdded 1 month ago

About this role

NewsBreak is seeking an Applied AI Engineer to enhance its advertising team by developing a robust AI-driven account management system. The role focuses on creating intelligent models for diagnosing ad performance and automating optimizations to boost advertising effectiveness and platform revenue.

What you'll do

  • Design and implement AI Account Manager System for automated ad optimization
  • Analyze advertiser data to assess account health and diagnose issues
  • Develop long-running services to ensure optimization reliability and quality
  • Collaborate with delivery algorithm teams to enhance AI capabilities

What they're looking for

  • Proficient in LLMs and AI fundamentals
  • Experience with REST/API integration
  • Strong software engineering skills
  • Familiar with modern deployment tools like Kubernetes
  • Analytical and problem-solving abilities

Benefits

  • Great Place to Work® certified
  • Opportunity to work in a high-growth environment
  • Innovative and dynamic team culture
  • Potential for remote work options
  • Exposure to advanced AI technologies
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NewsBreak

NewsBreak operates a news and local marketplace platform serving 40M+ monthly active users, leveraging machine learning and data infrastructure to power recommendations, advertising, and matching between consumers and businesses. The company is hiring software engineers, ML engineers, and data specialists to build and optimize backend systems, ML infrastructure, recommendation engines, and algorithms that drive user engagement and monetization.

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Likely interview questions

  • Can you walk us through a production agentic system you've built? How did you handle reliability, observability, and safety constraints in a closed-loop optimization scenario?
  • Describe your experience with LLMs and RAG systems. How have you implemented structured outputs, schema validation, and tool-use for autonomous decision-making?