Top Machine Learning Jobs in Charlotte, NC

As a Principal Machine Learning Engineer, you will optimize and fine-tune LLMs, build evaluation pipelines, and collaborate with product teams to enhance user experience.

Lead the design and implementation of scalable ML systems, ensure alignment with business goals, and mentor engineering teams to achieve excellence.

Lead the ML/AI Solutions team, driving development and integration of technical solutions in the auto lending industry while collaborating with stakeholders to enhance products and meet strategic goals.

Design, develop, and optimize large language models for NLP tasks while collaborating with teams to enhance safety on Reddit's platform.

Lead machine learning research and development, invent algorithms, collaborate with engineers/clinicians, publish findings, deploy models in production, and establish a research agenda.

As a Staff Machine Learning Engineer, you will shape the ML platform architecture, engineer scalable systems, and lead collaborative problem-solving while championing code quality and mentoring team members.

Develop LLM solutions, optimize ML pipelines, mentor teams, present at conferences, and collaborate with internal teams to shape ML initiatives.

The role involves collaborating with engineering and data science teams to enhance ad performance models, communicate with stakeholders, and analyze data for informed product decisions in mobile advertising technology.

Develop advanced machine learning techniques to enhance Zoom's AI search capability. Collaborate with teams to build AI-driven solutions for improved information retrieval and insights.

As a Senior Machine Learning Engineer, you'll develop deep learning models, manage MLOps infrastructure, and lead projects focusing on recommendation systems and NLP applications. Collaboration with engineers and product managers is essential, along with mentoring junior developers and influencing ML strategy alignment.

As a Staff Machine Learning Engineer, you'll engage in research and development of advanced machine learning models and AI solutions for Pinterest by tackling complex problems and collaborating with cross-functional teams, while maintaining high coding standards.

The Applied Mathematician will design and scale AI models, optimize algorithms, and collaborate on innovations in Generative AI technologies. They will mentor others and stay updated on GenAI advancements.

The role involves designing and maintaining AI content services, engaging in automated language generation, and working with cloud technologies.

As a Machine Learning Engineer, you will focus on building systems for data ingestion in a privacy-safe manner and collaborate with product teams to drive results.

The Technical Lead will optimize and fine-tune LLMs, improve model architecture for on-device performance, and collaborate on AI-powered browser features.

Develop and optimize AI models and training systems for robotics applications, collaborating with engineering teams for rapid experimentation and deployment.

Lead the design and deployment of generative AI models for product development, manage a high-performing engineering team, and ensure alignment with company goals.