Triton Digital

Machine Learning Engineer

• Design and develop new products/applications
• Participate in all phases of the software development lifecycle: planning, design, development, testing, deployment
• Write high-quality code
• Collaborate with data scientists
• Manage the machine learning model lifecycle

Big Data Developer – Machine Learning

Full-stack Engineer

• Architect and build new features to be used by thousands of publishers every day
• Fine-tune and scale the platform to accommodate millions of podcast downloads every day
• Fix bugs and improve system reliability

C# Full Stack Developer

Data Engineer

• Build and maintain the data infrastructure that transforms raw listening data into actionable insights for the podcasting and digital radio ecosystem.
• Design and implement robust data processing pipelines for accurate listening measurement and reporting
• Develop automated systems for data ingestion, validation, and quality assurance across multiple audio platforms
• Create and maintain visualization dashboards and reporting tools for internal and external stakeholders
• Build ML/AI models for audience measurement, demographic analysis, and listening pattern recognition
• Ensure data accuracy and integrity in measurement reporting that impacts industry decisions
• Optimize data delivery systems for real-time and batch reporting requirements
• Collaborate with client-facing teams to translate measurement needs into technical solutions

Big Data Developer – Machine Learning

C# Full Stack Developer

Big Data Engineer