Zefr is the leader in AI-powered content classifications for brands and advertisers. Backed by Felicis and IVP.
About the role
We are looking for a passionate engineer to come collaborate and grow alongside our experienced data engineering team. The team is responsible for a broad range of systems and technologies: Design, build, and operate complex workflows using Apache Airflow
What they're looking for
- Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)
- 1-2 years of experience in a technical field
- Competency in Python and SQL
- Knowledge of systems engineering principles and product lifecycle management
- Strong communication and collaboration skills
More about this role
Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.
Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.
We are looking for a passionate engineer to come collaborate and grow alongside our experienced data engineering team. The team is responsible for a broad range of systems and technologies:
Design, build, and operate complex workflows using Apache Airflow
Design, build, and operate data transformation pipelines in Snowflake and dbt
Design, build, and manage distributed data science inference systems across multi-cloud environments, including AWS and GCP (and more).
Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)
1-2 years of experience in a technical field
Competency in Python and SQL
Knowledge...
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