Top Hybrid Machine Learning Engineer Jobs

Design, implement, and support AI/ML systems, working with business units to optimize workflows and educate staff. Communicate findings to stakeholders and ensure compliance with policies.

Conduct model development and implementation for risk models, support sales initiatives, analyze transaction data with big data technologies, and promote analytics education at Visa.

The ML Scientist will develop machine learning models for climate risk, collaborate across teams, and validate algorithms to improve predictions of weather extremes.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

The Machine Learning Engineer will design, deploy, and operate ML systems on AWS while ensuring reliability, cost-effectiveness, and compliance for the gaming industry.

The role involves integrating and optimizing machine learning models for autonomous vehicle scenario generation, collaborating on AI-driven safety validation, and contributing to data-driven metrics and tooling.

The Machine Learning Engineer will design, build, and operate core recommendation systems, innovating ML/AI solutions, collaborating with a tech team, and driving project ideas based on business needs.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

As a Software Engineer, you will work on AI systems to enhance insurance pricing by analyzing problems, building evaluations, and shipping improvements, focusing on agent systems and production engineering.