NewsBreak
AI Engineer, Agentic Ad Creative (Multimodal)
About this role
NewsBreak is seeking an AI Engineer specialized in creating a multimodal ad generation agent that autonomously produces and optimizes creative media across multiple platforms. The role emphasizes building efficient pipelines for generating advertisements while adhering to content policies and maximizing performance metrics.
What you'll do
- Developing a CPI-feedback loop for performance-based creative regeneration
- Creating a streamlined video ad production pipeline
- Implementing a generative model routing system
- Designing a policy compliance checker for ad content
- Training brand-style models on past successful ads
- Establishing an event-triggered ad pipeline for immediate market response
What they're looking for
- Proficiency with diffusion and video models
- Experience in optimizing model inference and workflows
- Understanding of cost management in ad production
- In-depth knowledge of social media platform ad policies
- Ability to deliver creative content that captures attention
- Strong hands-on technical skills in AI and generative models
- Innovative mindset aimed at building effective ad solutions
Benefits
- Dynamic work environment
- Opportunity to innovate in AI-driven content generation
- Potential for career growth in a unicorn startup
- Collaboration with a talented team of professionals
- Engagement in meaningful challenges at scale
- Great Place to Work® certified
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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.
- Website
- newsbreak.com
Likely interview questions
- Walk us through a diffusion or video model you've debugged or optimized in production—what was breaking, and how did you fix it?
- You need to pick between Flux, SDXL, and Veo for a cost-constrained ad pipeline. How would you decide, and what metrics would prove your choice was right?