General Motors - Salem, OR
posted about 2 months ago
The Staff Machine Learning Engineer at General Motors will play a pivotal role in driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. This position requires a technical leader with expertise in building scalable Machine Learning data products that facilitate 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 with cross-functional teams, including engineering, data science, and UX/UI design, is essential to refine the platform that enables effective experimentation, measurement, and optimization. In this role, the Staff ML Engineer will work closely with stakeholders from GM's various vehicle brands, subscriptions, and customer care products, as well as the Performance Driven Marketing team. The goal is to ensure business acceptance of models, metrics, and visualizations that demonstrate experiment performance and optimization. The engineer will develop platforms, tools, and capabilities that empower stakeholders and data scientists to identify marketing initiatives with high return on investment. The focus is on delivering consumer-centric, personalized solutions that will help GM remain proactive and agile during its transition to electric vehicles (EVs). The Staff ML Engineer will also be responsible for leading a team, improving best practices in machine learning engineering, and ensuring high-quality delivery across the organization. This includes creating internal structures and frameworks to manage accountability and develop staff, as well as fostering a collaborative environment through design, architecture, and code reviews. The engineer will need to possess contextual business knowledge and functional domain expertise in marketing experimentation systems to drive incremental value and strategic outcomes.