Top Machine Learning Jobs in Raleigh, NC

As a Senior ML Software Engineer, you'll design cloud solutions, enhance ML pipelines, and develop infrastructure for performance and reliability in a high-scale environment.

The role involves conducting research and development in generative models for audio, collaborating on model architecture, and prototyping solutions.

Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.

The Technical Sales Engineer will leverage AI and ML to develop solutions, engage clients, conduct presentations, and oversee project implementations, ensuring alignment between client needs and Leidos' offerings.

Develop and implement machine learning algorithms, analyze datasets, and mentor team members while collaborating with product managers to refine predictions.

Lead and manage a team of data scientists to develop AI-powered features that improve patient experience and financial clarity in healthcare. Collaborate with stakeholders, mentor team members, and drive AI strategy aligned with business goals.

The Sr. Data Scientist will develop and implement AI-powered features for healthcare solutions, focusing on enhancing patient experience using machine learning and large language models.

The Principal Product Manager will define product strategy, oversee metadata management, lead design initiatives, facilitate collaboration, and mentor junior managers in the life sciences sector.