Eventbrite needs to ensure the reliability and security of its marketplace by mitigating risks such as fraud, spam, and abusive content, while also supporting the launch of new features and expansion into global markets.
Requirements
- Fluency with machine learning algorithms and AI solutions including deploying and monitoring in a production environment including application and data orchestration
- Proven ability to create maintainable, iterative solutions and measure success using statistical methods
- Ability to move quickly between problem areas making practical recommendations and autonomous decisions
- Strong experience with data processing and machine learning in Python (>5 years)
- Comfort with SQL and an ability using it to make sense out of complex data (>5 years)
- Direct experience in content moderation, fraud and spam detection or related topics
- Experience with DBT, Airflow, Sagemaker ecosystem, and Tableau
Responsibilities
- Design and deploy machine learning solutions to risk problems across a wide variety of features throughout the Eventbrite marketplace from transaction monitoring to account security to abusive language detection.
- Leverage your familiarity with classic approaches or learn new ones to develop practical, durable solutions to trust issues.
- Implement those solutions for use in both real time and offline applications.
- Design monitoring and feedback loops to confirm that our solutions remain reliable as the platform develops and our adversaries change tactics.
- Identify opportunities to improve team operation both technically and through process improvements.
Other
- Excellent communicator and collaborator comfortable working with product, engineering, operations, and functional leadership about technical solutions and analytical findings
- Passion for mentorship and providing technical leadership over machine learning projects
- Advanced Degree in a relevant field
- Active Eventbrite user with a passion for live events
