Top Machine Learning Engineer Jobs

Design, build, and deploy AI features for claim synthesis; implement machine learning solutions and improve model performance through collaboration and evaluation.

The AI Machine Learning Engineer will design, develop, and deploy AI/ML solutions, ensuring compliance with federal standards and improving operational efficiency.

This role involves developing predictive models, anomaly detection, analyzing manufacturing workflows, and partnering with engineers to improve operations.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

Design and develop machine learning models for AI-powered applications while collaborating with teams to achieve business objectives. Responsibilities include data preprocessing, model optimization, mentorship, and infrastructure management.

Lead applied machine learning projects to extract spatial intelligence from construction data, ensuring high-quality production systems and engineering standards.

The role involves designing and delivering advanced analytics and machine learning models for Internal Audit, focusing on risk monitoring and audit effectiveness through model development, governance, and stakeholder engagement.

The intern will focus on developing and evaluating machine learning models for automated scoring of Spanish responses, collaborating with psychometricians and data scientists.

The ML Engineer will build custom models and data systems for the AI platform, focusing on enhancing ML capabilities in the insurance domain and managing the full ML lifecycle including data pipelines and evaluation frameworks.

The Machine Learning Engineer will design and implement models and data pipelines for programmatic advertising, collaborating with data scientists to enhance ad performance.