MNTN

Machine Learning Engineer

• Design and build a robust marketing platform that reaches the right audience, anywhere and anytime
• Build high-volume services that remain reliable at scale
• Develop big data solutions using open-source frameworks
• Design, train, evaluate, and improve models for deliverability, forecasting, and optimization
• Refine thresholds, calibration, and guardrails to reduce false positives and decision noise
• Build offline and online evaluation workflows tied to measurable business outcomes
• Partner with Product, Project Leads, and platform-focused Machine Learning and Data Engineers to improve service reliability, latency, observability, and data freshness
• Share ownership of production systems, ship model improvements safely, and participate in the on-call rotation
• Operationalize data scientist prototypes into robust, scalable production systems
• Lead deployment, monitoring, and maintenance of machine learning solutions powering campaign optimizations at scale

Software Engineer, Machine Learning