Lead Developer of Predictive Analytics Platforms

17 hours ago


Hartford, Connecticut, United States General Motors Full time

Our Vision: At General Motors, we envision a future where electric vehicles, autonomous mobility solutions, and connected services make transportation safer, more sustainable, and enjoyable. As a key player in this vision, we're seeking an experienced Staff Machine Learning Engineer to drive the development of predictive analytics platforms using machine learning algorithms and techniques.

Responsibilities: As a Staff Machine Learning Engineer, you'll collaborate with data scientists, engineers, and product owners to design, develop, and refine our Marketing Experimentation and Optimization Platform, LiftIQ. Your key responsibilities will include designing and engineering efficient and resilient ML platforms and software products that run at scale, participating in design, architecture, and code reviews, fostering collaboration, and guiding the team through roadmap deliverables and other technical challenges.

Requirements: To succeed in this role, you should have a strong background in full-stack software development, machine learning, data science, or quantitative insights, with experience in Python, Spark, and React. Additionally, you should possess expertise in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques.

What We Offer: As a Staff Machine Learning Engineer at General Motors, you'll receive a competitive salary of $185,000, bonus potential, and a comprehensive benefits package, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.

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