NewsBreak
NewsBreak Venture, AI Growth Intelligence Engineer (New Grad）
About this role
NewsBreak seeks a junior software engineer to join its Corporate Ventures & AI Operations team, working on backend systems, ML infrastructure, and revenue operations. You'll develop data pipelines, recommendation engines, and monitoring tools that drive user retention and monetization across a platform with 40M+ monthly active users.
What you'll do
- Build instrumentation and monitoring systems to track performance signals (load times, error rates) across web, app, and live streams
- Develop backend services and dashboards for engagement metrics like session length, scroll depth, and retention
- Contribute to recommendation algorithms and data infrastructure (feature pipelines, training datasets) supporting personalization at scale
- Engineer data pipelines and ETL jobs to process ads, user events, and engagement data using SQL, Python, or PySpark
- Support commission calculation systems and revenue operations tooling for the ad sales team
- Build alerting and automated checks for data quality, ads performance anomalies, and system health
What they're looking for
- Python or PySpark
- SQL
- Backend/API development
- Data pipeline engineering
- System monitoring and instrumentation
- Machine learning infrastructure
- Code testing and documentation
- Cross-functional collaboration
Benefits
- Hybrid work arrangement in Mountain View, California
- Opportunity to work on AI and recommendation systems at scale
- Great Place to Work® certified company
- High-growth unicorn environment (reached unicorn status in 2021)
- Access to innovative content intelligence platform
- Mentorship from senior engineers
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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 data pipeline or backend project you've built—what technical challenges did you face and how did you solve them?
- How would you approach designing a system to monitor user engagement metrics like session length and scroll depth?