Top Hybrid Machine Learning Engineer Jobs

This role involves implementing financial models and enhancing a proprietary analytics library using C++ and Python, with a focus on software engineering practices.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

The Research Engineer will optimize large-scale machine learning models, contribute to architecture and training, and collaborate with teams for kernel integration.

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.