Top Tech Jobs & Startup Jobs

The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.

The Staff Data Scientist will lead marketing analytics efforts, developing advanced models to optimize audience targeting and improve marketing strategies. They will work with diverse teams to implement data-driven solutions, analyze complex business problems, and enhance customer engagement through effective data storytelling.

As a Senior Manager in the Vehicle Applications & Services Team, you will lead the design, development, and testing of automotive infotainment application software. Your role involves managing local and overseas teams, developing strategies to meet business goals, and ensuring timely releases of quality software products, while embracing agile practices.

The Compensation Manager at GM will develop, implement, and communicate compensation programs for the Software & Services department. Responsibilities include partnering with HR and Talent Acquisition, analyzing trends, creating compensation offers, educating HR on compensation practices, and optimizing compensation processes to attract and retain talent.

The Industrial Engineer will use lean concepts to eliminate waste in manufacturing processes, optimize operations, conduct time studies, and maintain accurate workstation layouts. They will collaborate with production teams to drive continuous improvement efforts and design work operations that comply with safety and efficiency standards.

The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.

The Principal Product Manager will lead the strategy and development of Automated Driving & Active Safety products at GM, engaging with engineering teams, driving product vision, and utilizing data analysis to inform product strategies. The role requires strong leadership, mentorship abilities, and a focus on innovation in automotive safety and technology.