Top Artificial Intelligence Machine Learning Engineer Jobs

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

This role involves developing and maintaining AI/ML models for supply chain optimization, predictive analytics, and automation, driving data-driven solutions and enhancing supply chain efficiency.

Lead the design and development of Datadog's experimentation engine, translating complex statistical methods into production systems while collaborating with cross-functional teams and educating stakeholders on best practices.

As a Machine Learning Engineer, you'll build statistical models, optimize advertiser performance, design experiments, and collaborate across teams to enhance Liftoff's revenue growth.

Manage financial markets risk portfolio by applying statistical and machine learning models to optimize forecasting and decision-making. Collaborate with cross-functional teams to provide actionable insights.

Develop scalable AI/ML software solutions, ensure quality and compliance, optimize performance, and collaborate on real-time systems. Manage data pipelines and models with a firm grasp of best practices.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Senior Software Engineer will lead projects in building AI/ML workflows, developing model services, and enhancing APIs, while collaborating across teams to drive technical excellence and operational success.

The role focuses on developing machine learning models, enhancing data pipelines, and ensuring robust data infrastructure for AI/ML solutions, including collaboration and continuous model improvement.