Top Hybrid Machine Learning Engineer Jobs in Austin, TX

As a Software Engineer Intern, you will assist in developing machine learning algorithms that enhance search and recommendation features, collaborate with teams, and gain real-world experience in a supportive environment.

The Staff Machine Learning Engineer will design backend software components, ensuring platform performance and reliability, while integrating GPU hardware and leading large initiatives within GM's AI ecosystem.

The intern will develop predictive models, collaborate on data-driven solutions, and work with large datasets to extract business insights.

The role involves collaborating with customer teams on data solutions, improving data architecture, enhancing algorithms, and ensuring successful product adoption.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.