Top Machine Learning Engineer Jobs

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.

As a Principal Machine Learning Engineer, you will develop optimization algorithms, manage deployment pipelines, and mentor engineers in deep learning techniques.

Lead the development of AI-driven search and recommendation systems, mentoring a team, optimizing ML models, and collaborating across teams to transform construction procurement.

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.