Top Artificial Intelligence Data Engineering Jobs in New York City, NY

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

As a Data Engineer, design and maintain data pipelines, ensure data quality, and support AI workflows using modern tools and cloud environments.

The Data Engineer will design, build, and support data infrastructure. Responsibilities include developing data products and collaborating with stakeholders to meet data needs, ensuring scalable solutions and contributing to a robust data culture.

The role involves improving a conversational AI by fine-tuning models, developing engaging features, and leading technical decisions across the stack.

The Vibe Marketer will design and ship AI workflows and internal tools to enhance contributor acquisition and team efficiency, using various automation technologies.

The Data Assistant will support an AI lab by cleaning, labeling, and organizing datasets to improve AI safety through behavioral pattern detection.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

Direct the data platform, develop ML systems for analyzing AI search behavior, and lead a data team while collaborating with product teams.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.