Top Machine Learning Jobs in Charlotte, NC

As a Senior Data Scientist, you will develop experiments and quantitative models to enhance Pinterest products, collaborating with cross-functional teams to implement findings.

The Product Manager leads data visualization, collaborates on product roadmaps, and ensures customer success by delivering data-driven solutions. They engage with engineering to improve features and work on product specifications and user stories.

Lead and mentor a team of engineers and data scientists, define the technical strategy for content discovery, and enhance personalization through ML techniques.

Design and develop machine learning infrastructure and tooling, assist teams with data lifecycle, and build scalable services for AI applications.

Lead the development of advanced multi-entity embeddings using GNNs and transformers, driving ML strategies and mentoring engineers to enhance Reddit’s recommendation systems.

The Senior Machine Learning Engineer will develop and optimize graph-based models for recommendation systems, collaborating with teams to enhance personalization and efficiency.

Develop and deploy generative AI products, define quality standards for unstructured data, and collaborate with enterprise clients to implement machine learning solutions.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

The Practice Director will lead a team in delivering strategic expertise in Data Engineering and AI/ML, focusing on practice growth, engagement management, and client satisfaction while mentoring and developing team members.

Develop and optimize AI-driven solutions for the healthcare sector, collaborating with platform engineers to enhance integrations and functionalities.

The Senior Technical Data/ML Product Owner will drive the development of AI/ML-powered products, shape data strategies, and lead cross-functional teams to enhance consumer financial identity and decision-making.

As a Machine Learning Engineer at NobleAI, you will design and deploy MLOps architecture, collaborate on model deployment, and automate production processes.

Lead clinical machine learning initiatives, productionize software, manage roadmaps and stakeholders, and guide a team of engineers and data scientists.

The ML Infrastructure Engineer will lead engineering efforts in developing scalable ML platforms, enhancing training and inference pipelines while collaborating with researchers and managing cloud-based deployments.

As an Intern Data Scientist/Machine Learning Engineer, you will develop machine learning models, analyze data, and collaborate with experienced professionals in a fast-paced environment.

As a Senior Quantitative Scientist at Verana Health, you will develop NLP models, analyze health data, and collaborate across teams to enhance patient care.

The Machine Learning Engineer III will design, develop, and deploy machine learning solutions, collaborating with various teams to improve data insights and model performance while maintaining compliance with healthcare standards.