Top Hybrid Machine Learning Engineer Jobs

The intern will develop predictive models, collaborate on data-driven solutions, and work with large datasets to extract business insights.

The Machine Learning Engineer Senior will design and develop ML algorithms to enhance analytics and decision-making, optimizing model performance, and ensuring reliability and data quality.

Lead the design and development of ML solutions for fraud detection across travel and expense, mentor junior team members, and collaborate on fraud strategy.

Lead AI & Analytics projects, build machine learning models for business decisions, collaborate with teams, and ensure effective communication of complex data insights.

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.

The Staff Machine Learning Engineer will design backend software components, ensuring platform performance and reliability, while integrating GPU hardware and leading large initiatives within GM's AI ecosystem.

As a Distinguished Machine Learning Engineer, you'll lead teams in developing and implementing scalable ML applications, mentor engineers, and drive innovation in the financial sector.

Design and build ML models, optimize data pipelines, lead teams, and support AI software components, while advancing AI capabilities for improved customer experiences.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead the design, implementation, and evolution of the ML stack for ad ranking and optimization, architecting distributed ML systems and collaborating across teams.