Top Hybrid Machine Learning Jobs

As a Machine Learning Engineering Manager, you will lead a team to implement MLOps practices, manage machine learning projects, mentor engineers, and oversee the development of ML pipelines. Collaboration with Data Science and Data Architecture teams is crucial to drive innovation and ensure best practices in machine learning.

As a Data Domain Architect Lead, you will lead a team collaborating with Data Science, Analytics, and Engineering to develop machine learning solutions, create taxonomies, and drive insights from data. You will manage processes for data collection, curation, and validation to improve AI/ML applications.

The role involves using machine learning for operations business insights, building scalable analytics capabilities, developing production-quality code, collaborating with data scientists to deploy ML services, mentoring junior staff, and communicating results to stakeholders.

The Senior Machine Learning Modeler will develop statistical models to forecast business outcomes using machine learning techniques. Responsibilities include managing the end-to-end model development process and collaborating across teams to solve complex business problems and communicate findings to senior leadership.

The Staff Machine Learning Engineer will lead and shape the technical vision for Cash App's underwriting and credit solutions by architecting robust systems and mentoring engineers. Responsibilities include enhancing ML infrastructure, collaborating with cross-functional teams, and contributing to large-scale features tied to financial health and accessibility for customers.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team, guiding engineers in the development of machine learning solutions that enhance customer experiences on Cash App. Responsibilities include strategic collaboration, mentoring team members, and incorporating AI into product features.