What are the responsibilities and job description for the STAFF MACHINE LEARNING ENGINEER position at Idaho State Job Bank?
Staff Machine Learning Engineer at General Motors in Boise, Idaho, United States Job Description Job Description The Role The Staff ML Engineer will be responsible for driving the vision, and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader and has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for measurement, optimization and personalization leveraging 1P / 3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX / UI Design, to build and refine the platform that enable experimentation, measurement and optimization. This person will work closely with stakeholders in GM's vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. What You'll Do Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI. Design and engineer efficient and resilient ML platforms and software products that run at scale. Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team. Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring. Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value. Drive a strategic roadmap with executable outcomes to provide business value and impact. Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, To view full details and how to apply, please login or create a Job Seeker account
