Top Remote Machine Learning Jobs in Washington DC,

The Founding Lead AI Engineer will design production-grade ML models, lead AI initiatives, mentor engineers, and drive technical execution and standards for a fast-growing AI team.

Lead AI and machine learning projects, create workflows and models, analyze data from diverse sources, and present insights to non-technical audiences.

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

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.

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.

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.