General Motors - Columbus, OH
posted about 2 months ago
The Staff Machine Learning Engineer at General Motors will play a pivotal role in shaping the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. This position requires a technical leader with a strong background in building scalable Machine Learning data products focused on experimentation and optimization. The engineer will be responsible for designing and implementing statistical and machine learning models that leverage both first-party and third-party data sources. Collaboration is key, as this role involves working closely with cross-functional teams, including engineering, data science, and UX/UI design, to enhance the platform's capabilities for experimentation, measurement, and optimization. In this role, the Staff ML Engineer will engage with stakeholders from various GM vehicle brands, subscriptions, and customer care products, as well as the Performance Driven Marketing team. The goal is to ensure the business acceptance of models, metrics, and visualizations that demonstrate experiment performance and optimization. The engineer will develop platforms and tools that empower stakeholders and data scientists to identify high-return marketing initiatives. The focus is on delivering innovative, consumer-centric, and personalized solutions that will help GM navigate its transition to electric vehicles (EVs). The Staff ML Engineer will also be responsible for leading a team, fostering collaboration, and guiding the team through technical challenges. They will raise the standards of machine learning engineering by improving best practices, producing exemplary code, and ensuring thorough documentation and monitoring. A strong understanding of business context and functional domain expertise in marketing experimentation systems is essential to drive incremental value. The engineer will prioritize stakeholder management, ensuring that requests are transformed into actionable data products and insights. Additionally, they will lead the development of a team capable of addressing diverse business challenges, ensuring high-quality delivery across the organization.