Machine Learning Jobs in Durham, NC

Architect, scale, and optimize ML infrastructure. Collaborate with teams to enhance model training and deployment performance, ensuring high availability and effective use of GPU resources.

The Principal ML Engineer will lead the development of AI evaluation platforms, architect frameworks for evaluating LLMs, and collaborate across teams to ensure safe and ethical AI practices.

The role involves architecting, scaling, and optimizing high-performance ML infrastructure, collaborating with researchers, and managing ML workflows.

Explore AI/ML technologies, design and integrate models, build prototypes, and collaborate with a cross-functional team to develop novel AI features.

The program develops recent graduates into future leaders through three rotating roles in various engineering fields over three years.

As a Senior Machine Learning Engineer, lead the development of ML solutions, design robust infrastructures, and collaborate across teams to enhance healthcare outcomes.