Top Remote Machine Learning Jobs in Lexington, KY

Develop, optimize, and deploy scalable ML solutions for content decisions at Netflix, utilizing advanced ML techniques and collaboration with teams.

As a Machine Learning Engineer, you'll optimize and deploy production ML models, build inference services, and collaborate closely with teams to integrate new models and enhance performance.

Design and optimize recommendation algorithms, analyze user data to enhance personalization, and experiment with new ML methods for better recommendations.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

Lead and establish machine learning initiatives, design and integrate models, mentor engineers and drive business impact through data-driven solutions.

A Machine Learning Engineer will design and optimize AI components, develop datasets, evaluate models, and collaborate cross-functionally to enhance AI insights.

As an AI/ML Software Engineer, you'll develop AI-driven solutions, integrate AI models into applications, and optimize AI systems, collaborating with teams to enhance product functionality.

As a Machine Learning Engineer, you'll deploy machine learning models, design APIs, optimize performance, and collaborate across teams to integrate models into production environments.

The AI/ML Engineering Intern will work on real-world projects in machine learning, leveraging analytical skills from biotechnology and learning core technologies.