Top Machine Learning Jobs in Indianapolis, IN

Assist in AI/ML research projects, design machine learning models, analyze datasets, collaborate with teams, and communicate findings clearly.

The intern will design and evaluate machine learning models, conduct original research, analyze datasets, and collaborate with AI/ML experts.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

The role involves developing machine learning models for Netflix's Studio, collaborating with teams, and scaling ML solutions for data analytics.

The Principal Machine Learning Engineer will lead the development of AI/ML solutions to enhance user personalization within Yahoo Mail, mentor teams, and drive innovation while maintaining code quality and engineering standards.

The role involves developing machine learning systems, integrating ML models, building data pipelines, and monitoring model performance while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, and mentor project teams, ensuring client satisfaction and leveraging the latest advancements in the field.

As a Principal Machine Learning Engineer, you will design and develop machine learning applications, lead teams, and ensure project management excellence while engaging with clients.

The Director of Data & Analytics will lead the analytics team, drive machine learning initiatives, and collaborate with various teams to influence data-driven decision-making.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

The ML Engineering Intern will contribute to the Nebula LLM development, tackle machine learning challenges, and gain hands-on experience in AI and language technology.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.

Design, implement, and maintain ML solutions using AWS SageMaker. Develop end-to-end ML pipelines and collaborate on model deployment to enhance data-driven decision-making.