General Motors - Bismarck, ND
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 focused on experimentation and optimization. The engineer will be responsible for experiment design, statistical and machine learning models for measurement, optimization, and personalization, leveraging both first-party and third-party data sources. Collaboration with cross-functional teams, including engineering, data science, and UX/UI design, is essential to build and 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 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 the visualization of experiment performance and optimization. The engineer will develop platforms, tools, and democratized capabilities that empower stakeholders and data scientists to identify marketing initiatives with high return on investment. The team is dedicated to delivering future-focused, consumer-centric, personalized solutions that will help GM remain proactive and agile during the transition to electric vehicles (EVs). The Staff ML Engineer will also be responsible for designing and engineering efficient and resilient ML platforms and software products that can operate at scale. They will participate in design, architecture, and code reviews, fostering collaboration and guiding the team through roadmap deliverables and technical challenges. As a technical leader, the engineer will raise the bar for ML engineering by improving best practices, producing exemplary code, documentation, automated tests, and thorough monitoring. They will possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, loyalty, and subscriptions to drive incremental value. Additionally, the engineer will manage stakeholder relationships, prioritize requests, and lead a team capable of tackling diverse business problems while ensuring high-quality delivery across the organization.